A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

M

m - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

The values of the helper function m to determine the pointer representation.

m - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine

The incline.

m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition

Row and column dimensions, and pivot sign.

m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition

Row and column dimensions.

m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition

Row and column dimensions.

m - Variable in class de.lmu.ifi.dbs.elki.math.statistics.LinearRegression

m_czech - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

The dissimilarity matrix.

m_hat - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult

The similarity matrix.

m_i - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Holds the value of PROCLUS.M_I_PARAM.

M_I_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

OptionID for PROCLUS.M_I_PARAM

M_I_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Parameter to specify the multiplier for the initial number of medoids, must be an integer greater than 0.

magic - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Magic number used to identify files

mahalanobisDistance(Matrix, Vector) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix

Main method, delegate to super class.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix

Main method, delegate to super class.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec

Main method to run this wrapper.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIProperties

Main method.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer

Main method to run this wrapper.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.data.RationalNumber

Calls test for a given number of numbers and a optionally given target file.

main(String[]) - Static method in class de.lmu.ifi.dbs.elki.KDDTask

Runs a KDD task accordingly to the specified parameters.

mainPanel - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

Main panel

make() - Method in class de.lmu.ifi.dbs.elki.math.Histogram.Constructor

Construct a new T when needed.

make() - Method in class de.lmu.ifi.dbs.elki.math.Histogram

Call the constructor to produce a new element, if possible.

makeByclassOverview(HashMapList<Class<?>, Option<?>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

makeByoptOverview(HashMapList<OptionID, Pair<Option<?>, Class<?>>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

makeDatabaseFromClustering(Database<O>, R, Class<L>) - Method in class de.lmu.ifi.dbs.elki.database.LabelsFromClustering

Retrieve a cloned database that - does not contain noise points - has labels assigned based on the given clustering Useful for e.g. training a classifier based on a clustering.

makeDatabasesFromClustering(Database<O>, R, Class<L>) - Method in class de.lmu.ifi.dbs.elki.database.PartitionsFromClustering

Use an existing clustering to partition a database.

makeDatabasesFromClustering(Database<O>, R) - Method in class de.lmu.ifi.dbs.elki.database.PartitionsFromClustering

Use an existing clustering to partition a database.

maker - Variable in class de.lmu.ifi.dbs.elki.math.Histogram

Constructor for new elements

makeStyleElement(Document) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager

Make a (filled) CSS style element for the given document.

makeStyleElement(Document) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil

Make a new CSS style element for the given Document.

managerStarted(UpdateManagerEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.RunWhenReadyAndVisible

React to an update manager becoming available.

ManhattanDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction

Manhattan distance function to compute the Manhattan distance for a pair of NumberVectors.

ManhattanDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction

Provides a Manhattan distance function that can compute the Manhattan distance (that is a DoubleDistance) for FeatureVectors.

manhattanSegmentalDistance(V, V, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Returns the Manhattan segmental distance between o1 and o2 realtive to the specified dimensions.

map - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache

The map holding the objects of this cache.

map - Variable in class de.lmu.ifi.dbs.elki.result.AnnotationFromHashMap

Store the hashmap for results.

map - Variable in class de.lmu.ifi.dbs.elki.result.ClusterOrderResult

Map of object IDs to their cluster order entry

map - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromHashMap

HashMap with object values

map - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput

HashMap of open print streams.

markAsAssigned() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Marks this unit as assigned to a cluster.

MarkerLibrary - Interface in de.lmu.ifi.dbs.elki.visualization.svg

A marker library is a class that can generate and draw various styles of markers.

matches(String) - Method in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

Returns true if the given pattern matches the pattern defined, false otherwise.

materialized - Variable in class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor

Materialized neighborhood

MaterializeDistances<V extends RealVector<V,?>,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.algorithm

Algorithm to materialize all the distances in a data set.

MaterializeDistances() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances

Empty constructor.

MaterializeKNNPreprocessor<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.preprocessing

A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.

MaterializeKNNPreprocessor() - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor

Provides a k nearest neighbors Preprocessor.

materializeROC(int, Collection<Integer>, Iterator<Pair<C, Integer>>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC

Compute a ROC curve given a set of positive IDs and a sorted list of (comparable, ID)s, where the comparable object is used to decided when two objects are interchangeable.

MathUtil - Class in de.lmu.ifi.dbs.elki.math

A collection of math related utility functions.

MathUtil() - Constructor for class de.lmu.ifi.dbs.elki.math.MathUtil

Matrix - Class in de.lmu.ifi.dbs.elki.math.linearalgebra

The Matrix Class represents real-valued matrices.

Matrix() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Basic-constructor for use in complex constructors only.

Matrix(int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Constructs an m-by-n matrix of zeros.

Matrix(int, int, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Constructs an m-by-n constant matrix.

Matrix(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Constructs a matrix from a 2-D array.

Matrix(RationalNumber[][]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Constructs a Matrix for a given array of arrays of RationalNumbers.

Matrix(double[], int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

Construct a matrix from a one-dimensional packed array

MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction

OptionID for DiskCacheBasedDoubleDistanceFunction.MATRIX_PARAM

MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction

OptionID for DiskCacheBasedFloatDistanceFunction.MATRIX_PARAM

MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

OptionID for FileBasedDoubleDistanceFunction.MATRIX_PARAM

MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

OptionID for FileBasedFloatDistanceFunction.MATRIX_PARAM

MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction

Parameter that specifies the name of the directory to be re-parsed.

MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction

Parameter that specifies the name of the directory to be re-parsed.

MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction

Parameter that specifies the name of the directory to be re-parsed.

MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction

Parameter that specifies the name of the directory to be re-parsed.

matrixsize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix

Size of the matrix

max - Variable in class de.lmu.ifi.dbs.elki.data.Interval

The maximum (right) value of this interval.

max - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.UniformDistribution

Maximum

max(D, D) - Static method in class de.lmu.ifi.dbs.elki.distance.DistanceUtil

Returns the maximum of the given Distances or the first, if none is greater than the other one.

max(List<D>, List<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

Returns an array that holds the maximum values of the both specified arrays in each index.

MAX - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator

Indicates the comparison of the max values of the entries' MBRs.

max - Variable in class de.lmu.ifi.dbs.elki.math.Histogram

To avoid introducing an extra bucket for the maximum value.

max(Map<Integer, Set<Integer>>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

Returns the set with the maximum size contained in the specified map.

max - Variable in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox

The coordinates of the 'upper right' (= maximum) hyper point.

max - Variable in class de.lmu.ifi.dbs.elki.visualization.scales.LinearScale

max value of the scale

max_degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction

Degree of the polynomial kernel function

MAX_DEGREE_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction

OptionID for FooKernelFunction.MAX_DEGREE_PARAM

MAX_DEGREE_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction

Parameter for the maximum degree

maxCacheSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

The maximum number of deaps in the cache, corresponds to the maximum height of this heap.

maxDeapIndex - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

The maximum index of a deap in this heap (corresponds to the maximum number of deaps - 1)

maxDeapSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

The maximum size of a deap.

maxima - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization

Stores the maximum in each dimension.

MAXIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization

OptionID for AttributeWiseMinMaxNormalization.MAXIMA_PARAM

MAXIMA_PARAM - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization

Parameter for maximum.

maximalExtensionPartition(List<N>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.BulkSplit

Partitions the specified feature vectors where the split axes are the dimensions with maximum extension

maximumIndex - Variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector

The maximal occurring index of any dimension.

maxIntegerDigits(double[][]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Returns the maximum integer digits in each column of the specified values.

maxIntegerDigits(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem

Returns the maximum integer digits of the specified values.

maxIntersection(Map<Integer, Set<Integer>>, Set<Integer>, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

Returns the index of the set having the maximum intersection set with the specified set contained in the specified map.

maxLevel - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Holds the value of CASH.MAXLEVEL_PARAM.

MAXLEVEL_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

OptionID for CASH.MAXLEVEL_PARAM.

MAXLEVEL_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Parameter to specify the maximum level for splitting the hypercube, must be an integer greater than 0.

maxNode() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap

Retrieves, but does not remove, the maximum node of this heap.

MAXRESOLUTION - Static variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow

Maximum resolution for plotted lines to improve performance for long time series.

maxruns - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Maximum number of iterations in run()

maxSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.Deap

The maximum size of this deap.

maxsmall - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod

Maximum number of small improvements (stopping condition)

maxSorting - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit

The entries sorted according to their max values of their MBRs.

maxSplitDimension - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval

Holds the maximum dimension which has already been splitted.

mbr() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode

mbr(List<E>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit

Computes and returns the mbr of the specified nodes, only the nodes between from and to index are considered.

mbr - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry

The minimum bounding rectangle of the underlying spatial node.

mbr() - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialNode

Computes and returns the MBR of this spatial object.

mean - Variable in class de.lmu.ifi.dbs.elki.data.model.EMModel

Cluster mean

mean - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution

Mean value for the generator

mean - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization

Stores the mean in each dimension.

MEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization

OptionID for AttributeWiseVarianceNormalization.MEAN_PARAM

MEAN_PARAM - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization

Parameter for means.

means(List<List<Integer>>, List<V>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans

Returns the mean vectors of the given clusters in the given database.

MeanVariance - Class in de.lmu.ifi.dbs.elki.math

Do some simple statistics (mean, average).

MeanVariance() - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVariance

Empty constructor

MeanVariance(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVariance

Constructor from full internal data.

MeanVariance(MeanVariance) - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVariance

Constructor from other instance

MeanVarianceHistogram(int, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.Histogram

Convenience constructor for MeanVariance-based Histograms.

MeasurementFunction<O extends DatabaseObject,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance

Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects.

members - Variable in class de.lmu.ifi.dbs.elki.data.MultiInstanceObject

Holds the members of this MultiInstanceObject.

MemoryPageFile<P extends Page<P>> - Class in de.lmu.ifi.dbs.elki.persistent

A memory based implementation of a PageFile that simulates I/O-access.

MemoryPageFile(int, int, Cache<P>) - Constructor for class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile

Creates a new MemoryPageFile that is supported by a cache with the specified parameters.

merge(Database<V>, List<ORCLUS<V>.ORCLUSCluster>, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Reduces the number of seeds to k_new

mergeCSSFrom(CSSClassManager) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager

Merge CSS classes, for example to merge two plots.

message(String) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil

Static version to log a 'info' message.

message(String, Throwable) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil

Static version to log a 'info' message.

MessageFormatter - Class in de.lmu.ifi.dbs.elki.logging

A formatter to simply retrieve the message of an LogRecord without printing origin information.

MessageFormatter() - Constructor for class de.lmu.ifi.dbs.elki.logging.MessageFormatter

Provides a message formatter to simply retrieve the message of an LogRecord.

META_SETTINGS - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID

Meta-data: algorithm settings

MetadataResult - Class in de.lmu.ifi.dbs.elki.result

Result to store meta data.

MetadataResult() - Constructor for class de.lmu.ifi.dbs.elki.result.MetadataResult

Constructor.

MetaParser<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.parser.meta

A MetaParser uses any Parser as specified by the user via parameter setting as base parser and may perform certain transformations on the retrieved ParsingResult.

MetaParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.meta.MetaParser

Sets the parameter for setting the base parser.

MetricalEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical

Marker interface for entries in a node of a metrical index.

MetricalIndex<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MetricalEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical

Abstract super class for all metrical index classes.

MetricalIndex() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.MetricalIndex

MetricalIndexDatabase<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.database

MetricalIndexDatabase is a database implementation which is supported by a metrical index structure.

MetricalIndexDatabase() - Constructor for class de.lmu.ifi.dbs.elki.database.MetricalIndexDatabase

Constructor

MetricalNode<N extends MetricalNode<N,E>,E extends MetricalEntry> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical

Marker interface for objects that can be used as nodes in a metrical index.

min - Variable in class de.lmu.ifi.dbs.elki.data.Interval

The minimum (left) value of this interval.

min - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.UniformDistribution

Minimum

min(D, D) - Static method in class de.lmu.ifi.dbs.elki.distance.DistanceUtil

Returns the minimum of the given Distances or the first, if none is less than the other one.

MIN - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator

Indicates the comparison of the min values of the entries' MBRs.

min - Variable in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox

The coordinates of the 'lower left' (= minimum) hyper point.

min - Variable in class de.lmu.ifi.dbs.elki.visualization.scales.LinearScale

min value of the scale

MIN_LOGLIKELIHOOD - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM

min_max(Database<RealVector<?, ?>>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil

Determines the minimum and maximum values in each dimension of all objects stored in the given database.

minChild(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap

Returns the index of the smaller child of the node at index i.

minDim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Holds the value of CASH.MINDIM_PARAM.

MINDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

OptionID for CASH.MINDIM_PARAM

MINDIM_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Parameter to specify the minimum dimensionality of the subspaces to be found, must be an integer greater than 0.

minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction

minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction

minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction

minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction

minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction

minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction

minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction

minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction

minDist(HyperBoundingBox, V) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction

Computes the minimum distance between the given MBR and the FeatureVector object according to this distance function.

minDist(HyperBoundingBox, Integer) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction

Computes the minimum distance between the given MBR and the FeatureVector object with the given id according to this distance function.

minfreq - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

Holds the value of APRIORI.MINFREQ_PARAM.

MINFREQ_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

OptionID for APRIORI.MINFREQ_PARAM

MINFREQ_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

Optional parameter to specify the threshold for minimum frequency, must be a double greater than or equal to 0 and less than or equal to 1.

minima - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization

Stores the minimum in each dimension.

MINIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization

OptionID for AttributeWiseMinMaxNormalization.MINIMA_PARAM

MINIMA_PARAM - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization

Parameter for minimum.

MinimalMarkers - Class in de.lmu.ifi.dbs.elki.visualization.svg

Simple marker library that just draws colored crosses at the given coordinates.

MinimalMarkers() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.MinimalMarkers

Constructor

MinMax<T extends Comparable<? super T>> - Class in de.lmu.ifi.dbs.elki.math

Class to find the minimum and maximum double values in data.

MinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.MinMax

Constructor without starting values.

MinMax(T, T) - Constructor for class de.lmu.ifi.dbs.elki.math.MinMax

Constructor with predefined minimum and maximum values.

MinMaxHeap<K extends Comparable<K>,V extends Identifiable> - Class in de.lmu.ifi.dbs.elki.utilities.heap

A double-ended priority queue implemented as a binary heap.

MinMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap

Constructs and initializes a new min-max-heap.

minNode() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap

Retrieves, but does not remove, the minimum node of this heap.

minPts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit

Minimum points.

minPts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Holds the value of CASH.MINPTS_PARAM.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Holds the value of DBSCAN.MINPTS_PARAM.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

Holds the value of OPTICS.MINPTS_PARAM.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

Holds the value of ProjectedDBSCAN.MINPTS_PARAM.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Holds the value of SNNClustering.MINPTS_PARAM.

minpts - Variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

Threshold for minimum number of points in the neighborhood.

minpts - Variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

Holds the value of parameter minpts.

MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

OptionID for CASH.MINPTS_PARAM

MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

OptionID for DBSCAN.MINPTS_PARAM

MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

OptionID for DeLiClu.MINPTS_PARAM

MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

OptionID for OPTICS.MINPTS_PARAM

MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

OptionID for ProjectedDBSCAN.MINPTS_PARAM

MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

OptionID for SNNClustering.MINPTS_PARAM

MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

OptionID for DiSHPreprocessor.MINPTS_PARAM

MINPTS_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

Option name

MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH

Parameter to specify the threshold for minimum number of points in a cluster, must be an integer greater than 0.

MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN

Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.

MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu

Parameter to specify the threshold for minimum number of points within a cluster, must be an integer greater than 0.

MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS

Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.

MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.

MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Parameter to specify the threshold for minimum number of points in the epsilon-SNN-neighborhood of a point, must be an integer greater than 0.

MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

Parameter Minpts.

MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor

Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.

minSorting - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit

The entries sorted according to their min values of their MBRs.

minsupp - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

Holds the value of APRIORI.MINSUPP_PARAM.

MINSUPP_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

OptionID for APRIORI.MINSUPP_PARAM

MINSUPP_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI

Parameter to specify the threshold for minimum support as minimally required number of transactions, must be an integer equal to or greater than 0.

minus(N) - Method in interface de.lmu.ifi.dbs.elki.data.Arithmetic

Subtracts the given number from this number.

minus(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber

minus(BitDistance) - Method in class de.lmu.ifi.dbs.elki.distance.BitDistance

minus(D) - Method in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance

minus(D) - Method in interface de.lmu.ifi.dbs.elki.distance.Distance

Returns a new Distance by subtracting the given distance from this distance.

minus(DoubleDistance) - Method in class de.lmu.ifi.dbs.elki.distance.DoubleDistance

minus(FloatDistance) - Method in class de.lmu.ifi.dbs.elki.distance.FloatDistance

minus(IntegerDistance) - Method in class de.lmu.ifi.dbs.elki.distance.IntegerDistance

minus(PreferenceVectorBasedCorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance

minus(SubspaceDistance) - Method in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance

minus(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

C = A - B

minus(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Returns this vector minus the specified vector v.

minusEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix

A = A - B

mixMagic(int, int) - Static method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray

Mix two magic numbers into one, to obtain a combined magic.

MkAppDirectoryEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Represents an entry in a directory node of a MkApp-Tree.

MkAppDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry

Empty constructor for serialization purposes.

MkAppDirectoryEntry(Integer, D, Integer, D, PolynomialApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry

Provides a new MkCoPDirectoryEntry with the given parameters.

MkAppEntry<D extends NumberDistance<D,N>,N extends Number> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Defines the requirements for an entry in an MkCop-Tree node.

MkAppLeafEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Represents an entry in a leaf node of a MkApp-Tree.

MkAppLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry

Empty constructor for serialization purposes.

MkAppLeafEntry(Integer, D, PolynomialApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry

Provides a new MkAppLeafEntry with the given parameters.

MkAppTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

MkAppTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.

MkAppTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree

Creates a new MkCopTree.

MkAppTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp

Represents a node in an MkApp-Tree.

MkAppTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode

Empty constructor for Externalizable interface.

MkAppTreeNode(PageFile<MkAppTreeNode<O, D, N>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode

Creates a MkAppTreeNode object.

MkCoPDirectoryEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Represents an entry in a directory node of an MkCop-Tree.

MkCoPDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry

Empty constructor for serialization purposes.

MkCoPDirectoryEntry(Integer, D, Integer, D, ApproximationLine) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry

Provides a new MkCoPDirectoryEntry with the given parameters.

MkCoPEntry<D extends NumberDistance<D,N>,N extends Number> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Defines the requirements for an entry in an MkCop-Tree node.

MkCoPLeafEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Represents an entry in a leaf node of a MkCoP-Tree.

MkCoPLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry

Empty constructor for serialization purposes.

MkCoPLeafEntry(Integer, D, ApproximationLine, ApproximationLine) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry

Provides a new MkCoPLeafEntry with the given parameters.

MkCoPTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

MkCopTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.

MkCoPTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree

Creates a new MkCopTree.

MkCoPTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop

Represents a node in an MkCop-Tree.

MkCoPTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode

Empty constructor for Externalizable interface.

MkCoPTreeNode(PageFile<MkCoPTreeNode<O, D, N>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode

Creates a MkCoPTreeNode object.

MkMaxDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Represents an entry in a directory node of an MkMaxTree.

MkMaxDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry

Empty constructor for serialization purposes.

MkMaxDirectoryEntry(Integer, D, Integer, D, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry

Provides a new MkMaxDirectoryEntry with the given parameters.

MkMaxEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Defines the requirements for an entry in an MkMaxTreeNode.

MkMaxLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Represents an entry in a leaf node of an MkMaxTree.

MkMaxLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry

Empty constructor for serialization purposes.

MkMaxLeafEntry(Integer, D, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry

Provides a new MkMaxLeafEntry with the given parameters.

MkMaxTree<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

MkMaxTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k <= k_max.

MkMaxTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree

Creates a new MkMaxTree.

MkMaxTreeNode<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax

Represents a node in an MkMaxTree.

MkMaxTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode

Empty constructor for Externalizable interface.

MkMaxTreeNode(PageFile<MkMaxTreeNode<O, D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode

Creates a new MkMaxTreeNode object.

MkTabDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Represents an entry in a directory node of a MkTab-Tree.

MkTabDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry

Empty constructor for serialization purposes.

MkTabDirectoryEntry(Integer, D, Integer, D, List<D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry

Provides a new MkMaxDirectoryEntry with the given parameters.

MkTabEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Defines the requirements for an entry in an MkCop-Tree node.

MkTabLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Represents an entry in a leaf node of a MkTab-Tree.

MkTabLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry

Empty constructor for serialization purposes.

MkTabLeafEntry(Integer, D, List<D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry

Provides a new MkMaxLeafEntry with the given parameters.

MkTabTree<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

MkTabTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.

MkTabTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree

Creates a new MkNNTabTree.

MkTabTreeNode<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab

Represents a node in a MkMax-Tree.

MkTabTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode

Empty constructor for Externalizable interface.

MkTabTreeNode(PageFile<MkTabTreeNode<O, D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode

Creates a MkTabTreeNode object.

MkTreeHeader - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees

Encapsulates the header information for subclasses of AbstractMkTree.

MkTreeHeader() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader

Empty constructor for serialization.

MkTreeHeader(int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader

Creates a nerw header with the specified parameters.

MLBDistSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split

Encapsulates the required methods for a split of a node in an M-Tree.

MLBDistSplit(N, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MLBDistSplit

Creates a new split object.

model - Variable in class de.lmu.ifi.dbs.elki.data.cluster.Cluster

Cluster model.

Model - Interface in de.lmu.ifi.dbs.elki.data.model

Base interface for Model classes.

modelHeight - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

modelQuality - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

modelWidth - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel

MODIFICATION_WARNING - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters

moveAll(Deap<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.Deap

Moves all elements from this deap into the specified deap.

MRadSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split

Encapsulates the required methods for a split of a node in an M-Tree.

MRadSplit(N, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MRadSplit

Creates a new split object.

msgformat - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler

Formatter for regular messages (informational records)

MTree<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

MTree is a metrical index structure based on the concepts of the M-Tree.

MTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree

Provides a new M-Tree.

MTreeDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Represents an entry in a directory node of an M-Tree.

MTreeDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

Empty constructor for serialization purposes.

MTreeDirectoryEntry(Integer, D, Integer, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry

Provides a new MTreeDirectoryEntry with the given parameters.

MTreeEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Defines the requirements for an entry in an M-Tree node.

MTreeLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants

Represents an entry in a leaf node of an M-Tree.

MTreeLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

Empty constructor for serialization purposes.

MTreeLeafEntry(Integer, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry

Provides a new MTreeLeafEntry object with the given parameters.

MTreeNode<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree

Represents a node in an M-Tree.

MTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode

Empty constructor for Externalizable interface.

MTreeNode(PageFile<MTreeNode<O, D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode

Creates a new MTreeNode with the specified parameters.

MTreeSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split

Abstract super class for splitting a node in an M-Tree.

MTreeSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MTreeSplit

MU_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

OptionID for DiSH.MU_PARAM

MU_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH

Parameter that specifies the a minimum number of points as a smoothing factor to avoid the single-link-effect, must be an integer greater than 0.

MultiInstanceObject<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.data

MultiInstanceObject represents a collection of several DatabaseObjects of an equal type.

MultiInstanceObject(List<O>) - Constructor for class de.lmu.ifi.dbs.elki.data.MultiInstanceObject

Provides a MultiInstanceObject comprising the specified members.

MultipleFileBasedDatabaseConnection<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.database.connection

Provides a database connection based on multiple files and parsers to be set.

MultipleFileBasedDatabaseConnection() - Constructor for class de.lmu.ifi.dbs.elki.database.connection.MultipleFileBasedDatabaseConnection

Provides a database connection expecting input from several files, adding parameters MultipleFileBasedDatabaseConnection.PARSERS_PARAM, and MultipleFileBasedDatabaseConnection.INPUT_PARAM to the option handler additionally to parameters of super class.

MultipleFilesOutput - Class in de.lmu.ifi.dbs.elki.result.textwriter

Manage output to multiple files.

MultipleFilesOutput(File) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput

Constructor

MultipleFilesOutput(File, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput

Constructor

MultipleLinearRegression - Class in de.lmu.ifi.dbs.elki.math.statistics

Multiple linear regression attempts to model the relationship between two or more explanatory variables and a response variable by fitting a linear equation to observed data.

MultipleLinearRegression(Vector, Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression

Provides a new multiple linear regression model with the specified parameters.

multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.BitVector

Returns a bit vector equal to this bit vector, if k is not 0, a bit vector with all components equal to zero otherwise.

multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector

multiplicate(double) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector

Returns a new FeatureVector of V that is the result of a scalar multiplication with the given scalar.

multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector

multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector

Provides a new SparseFloatVector as result of the multiplication of this SparseFloatVector by the scalar k.

multiplicativeInverse() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber

Returns the multiplicative inverse of this RationalNumber if it exists.

MultiRepresentedObject<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.data

MultiRepresentedObject represents a collection of several DatabaseObjects of a same superclass.

MultiRepresentedObject(List<O>) - Constructor for class de.lmu.ifi.dbs.elki.data.MultiRepresentedObject

Provides a MultiRepresentedObject comprising the specified representations.

MultiRepresentedObjectNormalization<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.normalization

Class to perform and undo a normalization on multi-represented objects with respect to given normalizations for each representation.

MultiRepresentedObjectNormalization() - Constructor for class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization

Sets normalization parameter to the optionhandler.

MultiResult - Class in de.lmu.ifi.dbs.elki.result

MultiResult is a result collection class.

MultiResult(ArrayList<Result>) - Constructor for class de.lmu.ifi.dbs.elki.result.MultiResult

Constructor

MultiResult() - Constructor for class de.lmu.ifi.dbs.elki.result.MultiResult

Constructor