Package de.lmu.ifi.dbs.elki.data

Basic classes for different data types, database object types and label types.

See: Description

Interface Summary

Interface	Description
FeatureVector<D>	Generic FeatureVector class that can contain any type of data (i.e. numerical or categorical attributes).
FeatureVector.Factory<V extends FeatureVector<? extends D>,D>	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<V extends NumberVector>	Factory API for this feature vector.
SparseFeatureVector<D>	Extended interface for sparse feature vector types.
SparseNumberVector	Combines the SparseFeatureVector and NumberVector.
SparseNumberVector.Factory<V extends SparseNumberVector>	Factory for sparse number vectors: make from a dim-value map.

Class Summary

Class	Description
AbstractNumberVector	AbstractNumberVector is an abstract implementation of FeatureVector.
AbstractNumberVector.Factory<V extends AbstractNumberVector>	Factory class.
Bit	A boolean number type.
BitVector	Vector using a dense bit set encoding, based on long[] storage.
BitVector.Factory	Factory for bit vectors.
BitVector.Factory.Parameterizer	Parameterization class.
BitVector.ShortSerializer	Serialization class for dense integer vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
ByteVector	Vector using byte[] storage.
ByteVector.Factory	Factory for Byte vectors.
ByteVector.Factory.Parameterizer	Parameterization class.
ByteVector.ShortSerializer	Serialization class for dense Byte vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
ByteVector.SmallSerializer	Serialization class for dense Byte vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
ClassLabel	A ClassLabel to identify a certain class of objects that is to discern from other classes by a classifier.
ClassLabel.Factory<L extends ClassLabel>	Class label factory.
Cluster<M extends Model>	Generic cluster class, that may or not have hierarchical information.
Clustering<M extends Model>	Result class for clusterings.
DoubleVector	Vector type using double[] storage for real numbers.
DoubleVector.Factory	Factory for Double vectors.
DoubleVector.Factory.Parameterizer	Parameterization class.
DoubleVector.ShortSerializer	Serialization class for dense double vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
DoubleVector.SmallSerializer	Serialization class for dense double vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
DoubleVector.VariableSerializer	Serialization class for variable dimensionality by using VarInt encoding.
ExternalID	External ID objects.
FloatVector	Vector type using float[] storage, thus needing approximately half as much memory as DoubleVector.
FloatVector.Factory	Factory for float vectors.
FloatVector.Factory.Parameterizer	Parameterization class.
FloatVector.ShortSerializer	Serialization class for dense float vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
FloatVector.SmallSerializer	Serialization class for dense float vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
FloatVector.VariableSerializer	Serialization class for variable dimensionality by using VarInt encoding.
HierarchicalClassLabel	A HierarchicalClassLabel is a ClassLabel to reflect a hierarchical structure of classes.
HierarchicalClassLabel.Factory	Factory class.
HyperBoundingBox	HyperBoundingBox represents a hyperrectangle in the multidimensional space.
IntegerVector	Vector type using int[] storage.
IntegerVector.Factory	Factory for integer vectors.
IntegerVector.Factory.Parameterizer	Parameterization class.
IntegerVector.ShortSerializer	Serialization class for dense integer vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
IntegerVector.SmallSerializer	Serialization class for dense integer vectors with up to 127 dimensions, by using a byte for storing the dimensionality.
IntegerVector.VariableSerializer	Serialization class for variable dimensionality by using VarInt encoding.
LabelList	A list of string labels.
LabelList.Serializer	Serialization class.
ModifiableHyperBoundingBox	MBR class allowing modifications (as opposed to HyperBoundingBox).
OneDimensionalDoubleVector	Specialized class implementing a one-dimensional double vector without using an array.
OneDimensionalDoubleVector.Factory	Factory class.
OneDimensionalDoubleVector.Factory.Parameterizer	Parameterization class.
ShortVector	Vector type using short[] storage.
ShortVector.Factory	Factory for Short vectors.
ShortVector.Factory.Parameterizer	Parameterization class.
ShortVector.ShortSerializer	Serialization class for dense Short vectors with up to Short.MAX_VALUE dimensions, by using a short for storing the dimensionality.
ShortVector.VariableSerializer	Serialization class for variable dimensionality by using VarInt encoding.
SimpleClassLabel	A simple class label casting a String as it is as label.
SimpleClassLabel.Factory	Factory class.
SimpleClassLabel.Serializer	Serialization class.
SparseByteVector	Sparse vector type, using byte[] for storing the values, and int[] for storing the indexes, approximately 5 bytes per non-zero value (limited to -128..+127).
SparseByteVector.Factory	Factory class.
SparseByteVector.Factory.Parameterizer	Parameterization class.
SparseByteVector.VariableSerializer	Serialization class using VarInt encodings.
SparseDoubleVector	Sparse vector type, using double[] for storing the values, and int[] for storing the indexes, approximately 12 bytes per non-zero value.
SparseDoubleVector.Factory	Factory class.
SparseDoubleVector.Factory.Parameterizer	Parameterization class.
SparseDoubleVector.VariableSerializer	Serialization class using VarInt encodings.
SparseFloatVector	Sparse vector type, using float[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero value.
SparseFloatVector.Factory	Factory class.
SparseFloatVector.Factory.Parameterizer	Parameterization class.
SparseFloatVector.VariableSerializer	Serialization class using VarInt encodings.
SparseIntegerVector	Sparse vector type, using int[] for storing the values, and int[] for storing the indexes, approximately 8 bytes per non-zero integer value.
SparseIntegerVector.Factory	Factory class.
SparseIntegerVector.Factory.Parameterizer	Parameterization class.
SparseIntegerVector.VariableSerializer	Serialization class using VarInt encodings.
SparseShortVector	Sparse vector type, using short[] for storing the values, and int[] for storing the indexes, approximately 6 bytes per non-zero value.
SparseShortVector.Factory	Factory class.
SparseShortVector.Factory.Parameterizer	Parameterization class.
SparseShortVector.VariableSerializer	Serialization class using VarInt encodings.
Subspace	Represents a subspace of the original data space.
Subspace.DimensionComparator	A comparator for subspaces based on their involved dimensions.
VectorUtil	Utility functions for use with vectors.
VectorUtil.SortDBIDsBySingleDimension	Compare number vectors by a single dimension.
VectorUtil.SortVectorsBySingleDimension	Compare number vectors by a single dimension.

Package de.lmu.ifi.dbs.elki.data Description

Basic classes for different data types, database object types and label types.