Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm |
Algorithms suitable as a task for the
KDDTask main routine. |
de.lmu.ifi.dbs.elki.algorithm.benchmark |
Benchmarking pseudo algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering |
Clustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.affinitypropagation |
Affinity Propagation (AP) clustering.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering |
Biclustering algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation |
Correlation clustering algorithms
|
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash |
Helper classes for the
CASH algorithm. |
de.lmu.ifi.dbs.elki.algorithm.clustering.gdbscan |
Generalized DBSCAN.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical | |
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality |
Quality measures for k-Means results.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.onedimensional |
Clustering algorithms for one-dimensional data.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace |
Axis-parallel subspace clustering algorithms
The clustering algorithms in this package are instances of both, projected clustering algorithms or
subspace clustering algorithms according to the classical but somewhat obsolete classification schema
of clustering algorithms for axis-parallel subspaces.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique |
Helper classes for the
CLIQUE algorithm. |
de.lmu.ifi.dbs.elki.algorithm.clustering.trivial |
Trivial clustering algorithms: all in one, no clusters, label clusterings
These methods are mostly useful for providing a reference result in evaluation.
|
de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
de.lmu.ifi.dbs.elki.algorithm.outlier.lof |
LOF family of outlier detection algorithms.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.meta |
Meta outlier detection algorithms: external scores, score rescaling.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.spatial |
Spatial outlier detection algorithms
|
de.lmu.ifi.dbs.elki.algorithm.outlier.subspace |
Subspace outlier detection methods.
|
de.lmu.ifi.dbs.elki.algorithm.outlier.trivial |
Trivial outlier detection algorithms: no outliers, all outliers, label outliers.
|
de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms
The algorithms in this package perform statistical analysis of the data
(e.g. compute distributions, distance distributions etc.)
|
de.lmu.ifi.dbs.elki.application.greedyensemble |
Greedy ensembles for outlier detection.
|
de.lmu.ifi.dbs.elki.data |
Basic classes for different data types, database object types and label types.
|
de.lmu.ifi.dbs.elki.data.model |
Cluster models classes for various algorithms.
|
de.lmu.ifi.dbs.elki.data.projection |
Data projections.
|
de.lmu.ifi.dbs.elki.data.spatial |
Spatial data types - interfaces and utilities.
|
de.lmu.ifi.dbs.elki.data.type |
Data type information, also used for type restrictions.
|
de.lmu.ifi.dbs.elki.database.relation |
Relations, materialized and virtual (views).
|
de.lmu.ifi.dbs.elki.datasource.filter |
Data filtering, in particular for normalization and projection.
|
de.lmu.ifi.dbs.elki.datasource.filter.normalization |
Data normalization.
|
de.lmu.ifi.dbs.elki.datasource.filter.transform |
Data space transformations.
|
de.lmu.ifi.dbs.elki.datasource.parser |
Parsers for different file formats and data types.
|
de.lmu.ifi.dbs.elki.distance.distancefunction |
Distance functions for use within ELKI.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.colorhistogram |
Distance functions using correlations.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation |
Distance functions using correlations.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.geo |
Geographic (earth) distance functions.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.histogram |
Distance functions for one-dimensional histograms.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.minkowski |
Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.probabilistic |
Distance from probability theory, mostly divergences such as K-L-divergence, J-divergence.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace |
Distance functions based on subspaces.
|
de.lmu.ifi.dbs.elki.distance.distancefunction.timeseries |
Distance functions designed for time series.
|
de.lmu.ifi.dbs.elki.distance.distancevalue |
Distance values, i.e. object storing an actual distance value along with
comparison functions and value parsers.
|
de.lmu.ifi.dbs.elki.distance.similarityfunction |
Similarity functions.
|
de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel |
Kernel functions.
|
de.lmu.ifi.dbs.elki.evaluation.clustering |
Evaluation of clustering results.
|
de.lmu.ifi.dbs.elki.evaluation.clustering.pairsegments |
Pair-segment analysis of multiple clusterings.
|
de.lmu.ifi.dbs.elki.evaluation.histogram |
Functionality for the evaluation of algorithms using histograms.
|
de.lmu.ifi.dbs.elki.evaluation.outlier |
Evaluate an outlier score using a misclassification based cost model.
|
de.lmu.ifi.dbs.elki.evaluation.roc |
Evaluation of rankings using ROC AUC (Receiver Operation Characteristics - Area Under Curve)
|
de.lmu.ifi.dbs.elki.index.lsh.hashfamilies |
Hash function families for LSH.
|
de.lmu.ifi.dbs.elki.index.lsh.hashfunctions |
Hash functions for LSH
|
de.lmu.ifi.dbs.elki.index.preprocessed |
Index structure based on preprocessors
|
de.lmu.ifi.dbs.elki.index.preprocessed.knn |
Indexes providing KNN and rKNN data.
|
de.lmu.ifi.dbs.elki.index.preprocessed.localpca |
Index using a preprocessed local PCA.
|
de.lmu.ifi.dbs.elki.index.preprocessed.preference |
Indexes storing preference vectors.
|
de.lmu.ifi.dbs.elki.index.preprocessed.subspaceproj |
Index using a preprocessed local subspaces.
|
de.lmu.ifi.dbs.elki.index.projected |
Projected indexes for data.
|
de.lmu.ifi.dbs.elki.index.tree.spatial |
Tree-based index structures for spatial indexing.
|
de.lmu.ifi.dbs.elki.index.tree.spatial.kd |
K-d-tree and variants.
|
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants |
R*-Tree and variants.
|
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.deliclu | |
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rstar | |
de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.strategies.split |
Splitting strategies for R-Trees
|
de.lmu.ifi.dbs.elki.index.vafile |
Vector Approximation File
|
de.lmu.ifi.dbs.elki.math |
Mathematical operations and utilities used throughout the framework.
|
de.lmu.ifi.dbs.elki.math.dimensionsimilarity |
Functions to compute the similarity of dimensions (or the interestingness of the combination).
|
de.lmu.ifi.dbs.elki.math.linearalgebra |
Linear Algebra package provides classes and computational methods for operations on matrices.
|
de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
Principal Component Analysis (PCA) and Eigenvector processing.
|
de.lmu.ifi.dbs.elki.math.linearalgebra.randomprojections |
Random projection families.
|
de.lmu.ifi.dbs.elki.math.scales |
Scales handling for plotting.
|
de.lmu.ifi.dbs.elki.math.spacefillingcurves |
Space filling curves.
|
de.lmu.ifi.dbs.elki.result |
Result types, representation and handling
|
de.lmu.ifi.dbs.elki.result.textwriter |
Text serialization (CSV, Gnuplot, Console, ...)
|
de.lmu.ifi.dbs.elki.result.textwriter.naming |
Naming schemes for clusters (for output when an algorithm doesn't generate cluster names).
|
de.lmu.ifi.dbs.elki.utilities |
Utility and helper classes - commonly used data structures, output formatting, exceptions, ...
|
de.lmu.ifi.dbs.elki.utilities.datastructures.arraylike |
Common API for accessing objects that are "array-like", including lists, numerical vectors, database vectors and arrays.
|
de.lmu.ifi.dbs.elki.utilities.referencepoints |
Package containing strategies to obtain reference points
Shared code for various algorithms that use reference points.
|
de.lmu.ifi.dbs.elki.visualization |
Visualization package of ELKI.
|
de.lmu.ifi.dbs.elki.visualization.gui |
Package to provide a visualization GUI.
|
de.lmu.ifi.dbs.elki.visualization.opticsplot |
Code for drawing OPTICS plots
|
de.lmu.ifi.dbs.elki.visualization.projections |
Visualization projections
|
de.lmu.ifi.dbs.elki.visualization.projector |
Projectors are responsible for finding appropriate projections for data relations.
|
de.lmu.ifi.dbs.elki.visualization.style |
Style management for ELKI visualizations.
|
de.lmu.ifi.dbs.elki.visualization.svg |
Base SVG functionality (generation, markers, thumbnails, export, ...).
|
de.lmu.ifi.dbs.elki.visualization.visualizers.histogram |
Visualizers based on 1D projected histograms.
|
de.lmu.ifi.dbs.elki.visualization.visualizers.optics |
Visualizers that do work on OPTICS plots
|
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel |
Visualizers based on parallel coordinates.
|
de.lmu.ifi.dbs.elki.visualization.visualizers.parallel.cluster |
Visualizers for clustering results based on parallel coordinates.
|
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot |
Visualizers based on scatterplots.
|
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.cluster |
Visualizers for clustering results based on 2D projections.
|
de.lmu.ifi.dbs.elki.visualization.visualizers.scatterplot.selection |
Visualizers for object selection based on 2D projections.
|
de.lmu.ifi.dbs.elki.visualization.visualizers.visunproj |
Visualizers that do not use a particular projection.
|
tutorial.clustering |
Classes from the tutorial on implementing a custom k-means variation.
|
tutorial.distancefunction |
Classes from the tutorial on implementing distance functions.
|
Class and Description |
---|
BitVector
Provides a BitVector wrapping a BitSet.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
Clustering
Result class for clusterings.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
Clustering
Result class for clusterings.
|
Class and Description |
---|
Cluster
Generic cluster class, that may or not have hierarchical information.
|
Clustering
Result class for clusterings.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
Cluster
Generic cluster class, that may or not have hierarchical information.
|
Clustering
Result class for clusterings.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
NumberVector.Factory
Factory API for this feature vector.
|
Class and Description |
---|
HyperBoundingBox
HyperBoundingBox represents a hyperrectangle in the multidimensional space.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
Clustering
Result class for clusterings.
|
Class and Description |
---|
Cluster
Generic cluster class, that may or not have hierarchical information.
|
Clustering
Result class for clusterings.
|
Class and Description |
---|
Clustering
Result class for clusterings.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
Clustering
Result class for clusterings.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
Clustering
Result class for clusterings.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
Cluster
Generic cluster class, that may or not have hierarchical information.
|
Clustering
Result class for clusterings.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Subspace
Represents a subspace of the original data space.
|
Class and Description |
---|
Interval
Represents an interval in a certain dimension of the data space.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Subspace
Represents a subspace of the original data space.
|
Class and Description |
---|
Clustering
Result class for clusterings.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
ClassLabel
A ClassLabel to identify a certain class of objects that is to discern from
other classes by a classifier.
|
DoubleVector
A DoubleVector is to store real values approximately as double values.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
AbstractNumberVector
AbstractNumberVector is an abstract implementation of FeatureVector.
|
AbstractNumberVector.Factory
Factory class.
|
Arithmetic
An interface to define requirements for a number to perform arithmetic
operations.
|
Bit
Provides a bit number.
|
BitVector
Provides a BitVector wrapping a BitSet.
|
BitVector.Factory
Factory for bit vectors.
|
ByteVector
A ByteVector stores the data using bytes.
|
ByteVector.Factory
Factory for Byte vectors.
|
ClassLabel
A ClassLabel to identify a certain class of objects that is to discern from
other classes by a classifier.
|
ClassLabel.Factory
Class label factory.
|
Cluster
Generic cluster class, that may or not have hierarchical information.
|
DoubleVector
A DoubleVector is to store real values approximately as double values.
|
DoubleVector.Factory
Factory for Double vectors.
|
FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
|
FeatureVector.Factory
Factory API for this feature vector.
|
FloatVector
A FloatVector is to store real values with lower memory requirements by using
float values.
|
FloatVector.Factory
Factory for float vectors.
|
HierarchicalClassLabel
A HierarchicalClassLabel is a ClassLabel to reflect a hierarchical structure
of classes.
|
HyperBoundingBox
HyperBoundingBox represents a hyperrectangle in the multidimensional space.
|
IntegerVector
An IntegerVector is to store integer values.
|
IntegerVector.Factory
Factory for integer vectors.
|
Interval
Represents an interval in a certain dimension of the data space.
|
LabelList
A list of string labels.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
NumberVector.Factory
Factory API for this feature vector.
|
OneDimensionalDoubleVector
Specialized class implementing a one-dimensional double vector without using
an array.
|
OneDimensionalDoubleVector.Factory
Factory class.
|
RationalNumber
RationalNumber represents rational numbers in arbitrary precision.
|
ShortVector
An ShortVector is to store Short values.
|
ShortVector.Factory
Factory for Short vectors.
|
SimpleClassLabel
A simple class label casting a String as it is as label.
|
SparseByteVector
A SparseByteVector is to store real values as double values.
|
SparseByteVector.Factory
Factory class.
|
SparseDoubleVector
A SparseDoubleVector is to store real values as double values.
|
SparseDoubleVector.Factory
Factory class.
|
SparseFeatureVector
Extended interface for sparse feature vector types.
|
SparseFloatVector
A SparseFloatVector is to store real values approximately as float values.
|
SparseFloatVector.Factory
Factory class.
|
SparseIntegerVector
A SparseIntegerVector is to store real values as double values.
|
SparseIntegerVector.Factory
Factory class.
|
SparseNumberVector
Combines the SparseFeatureVector and NumberVector.
|
SparseNumberVector.Factory
Factory for sparse number vectors: make from a dim-value map.
|
SparseShortVector
A SparseShortVector is to store real values as double values.
|
SparseShortVector.Factory
Factory class.
|
Subspace
Represents a subspace of the original data space.
|
Class and Description |
---|
FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Subspace
Represents a subspace of the original data space.
|
Class and Description |
---|
FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
|
FeatureVector.Factory
Factory API for this feature vector.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
NumberVector.Factory
Factory API for this feature vector.
|
Class and Description |
---|
HyperBoundingBox
HyperBoundingBox represents a hyperrectangle in the multidimensional space.
|
ModifiableHyperBoundingBox
MBR class allowing modifications (as opposed to
HyperBoundingBox ). |
Class and Description |
---|
BitVector
Provides a BitVector wrapping a BitSet.
|
ClassLabel
A ClassLabel to identify a certain class of objects that is to discern from
other classes by a classifier.
|
DoubleVector
A DoubleVector is to store real values approximately as double values.
|
ExternalID
External ID objects.
|
FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
|
FeatureVector.Factory
Factory API for this feature vector.
|
FloatVector
A FloatVector is to store real values with lower memory requirements by using
float values.
|
LabelList
A list of string labels.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
SimpleClassLabel
A simple class label casting a String as it is as label.
|
SparseDoubleVector
A SparseDoubleVector is to store real values as double values.
|
SparseFloatVector
A SparseFloatVector is to store real values approximately as float values.
|
SparseNumberVector
Combines the SparseFeatureVector and NumberVector.
|
Class and Description |
---|
FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
NumberVector.Factory
Factory API for this feature vector.
|
Class and Description |
---|
ClassLabel.Factory
Class label factory.
|
DoubleVector
A DoubleVector is to store real values approximately as double values.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
NumberVector.Factory
Factory API for this feature vector.
|
SimpleClassLabel
A simple class label casting a String as it is as label.
|
SparseNumberVector
Combines the SparseFeatureVector and NumberVector.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
NumberVector.Factory
Factory API for this feature vector.
|
SparseNumberVector
Combines the SparseFeatureVector and NumberVector.
|
Class and Description |
---|
ClassLabel
A ClassLabel to identify a certain class of objects that is to discern from
other classes by a classifier.
|
DoubleVector
A DoubleVector is to store real values approximately as double values.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
NumberVector.Factory
Factory API for this feature vector.
|
Class and Description |
---|
BitVector
Provides a BitVector wrapping a BitSet.
|
LabelList
A list of string labels.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
NumberVector.Factory
Factory API for this feature vector.
|
SparseNumberVector
Combines the SparseFeatureVector and NumberVector.
|
SparseNumberVector.Factory
Factory for sparse number vectors: make from a dim-value map.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
SparseNumberVector
Combines the SparseFeatureVector and NumberVector.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
Bit
Provides a bit number.
|
Class and Description |
---|
FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
Clustering
Result class for clusterings.
|
Class and Description |
---|
Cluster
Generic cluster class, that may or not have hierarchical information.
|
Clustering
Result class for clusterings.
|
Class and Description |
---|
DoubleVector
A DoubleVector is to store real values approximately as double values.
|
Class and Description |
---|
Clustering
Result class for clusterings.
|
Class and Description |
---|
Cluster
Generic cluster class, that may or not have hierarchical information.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
|
ModifiableHyperBoundingBox
MBR class allowing modifications (as opposed to
HyperBoundingBox ). |
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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VectorUtil.SortDBIDsBySingleDimension
Compare number vectors by a single dimension.
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Class and Description |
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ModifiableHyperBoundingBox
MBR class allowing modifications (as opposed to
HyperBoundingBox ). |
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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Class and Description |
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FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
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ModifiableHyperBoundingBox
MBR class allowing modifications (as opposed to
HyperBoundingBox ). |
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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ModifiableHyperBoundingBox
MBR class allowing modifications (as opposed to
HyperBoundingBox ). |
Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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Class and Description |
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FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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RationalNumber
RationalNumber represents rational numbers in arbitrary precision.
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Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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Class and Description |
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Clustering
Result class for clusterings.
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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Class and Description |
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Cluster
Generic cluster class, that may or not have hierarchical information.
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Clustering
Result class for clusterings.
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Class and Description |
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Cluster
Generic cluster class, that may or not have hierarchical information.
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Clustering
Result class for clusterings.
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Class and Description |
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ClassLabel
A ClassLabel to identify a certain class of objects that is to discern from
other classes by a classifier.
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FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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FeatureVector
Generic FeatureVector class that can contain any type of data (i.e. numerical
or categorical attributes).
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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Clustering
Result class for clusterings.
|
Class and Description |
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ClassLabel
A ClassLabel to identify a certain class of objects that is to discern from
other classes by a classifier.
|
Class and Description |
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Clustering
Result class for clusterings.
|
Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
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NumberVector.Factory
Factory API for this feature vector.
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Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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Cluster
Generic cluster class, that may or not have hierarchical information.
|
Clustering
Result class for clusterings.
|
Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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Cluster
Generic cluster class, that may or not have hierarchical information.
|
Clustering
Result class for clusterings.
|
Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
---|
Clustering
Result class for clusterings.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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Cluster
Generic cluster class, that may or not have hierarchical information.
|
Clustering
Result class for clusterings.
|
DoubleVector
A DoubleVector is to store real values approximately as double values.
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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Cluster
Generic cluster class, that may or not have hierarchical information.
|
Clustering
Result class for clusterings.
|
Class and Description |
---|
Clustering
Result class for clusterings.
|
NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|
Class and Description |
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NumberVector
Interface NumberVector defines the methods that should be implemented by any
Object that is element of a real vector space of type N.
|