Uses of Package
de.lmu.ifi.dbs.elki.datasource.filter

Packages that use de.lmu.ifi.dbs.elki.datasource.filter

de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Correlation clustering algorithms
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms.
de.lmu.ifi.dbs.elki.datasource	Data normalization (and reconstitution) of data sets.
de.lmu.ifi.dbs.elki.datasource.filter	Data filtering, in particular for normalization and projection.

Classes in de.lmu.ifi.dbs.elki.datasource.filter used by de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

NonNumericFeaturesException
An exception to signal the encounter of non numeric features where numeric features have been expected.

Classes in de.lmu.ifi.dbs.elki.datasource.filter used by de.lmu.ifi.dbs.elki.data.model

NonNumericFeaturesException
An exception to signal the encounter of non numeric features where numeric features have been expected.

Normalization
Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges.

Classes in de.lmu.ifi.dbs.elki.datasource.filter used by de.lmu.ifi.dbs.elki.datasource

ObjectFilter
Object filters as part of the input step.

Classes in de.lmu.ifi.dbs.elki.datasource.filter used by de.lmu.ifi.dbs.elki.datasource.filter

AbstractConversionFilter
Abstract base class for simple conversion filters such as normalizations and projections.

AbstractFeatureSelectionFilter
A ProjectionParser projects the objects of its base parser onto a subspace specified by a BitSet.

AbstractFeatureSelectionFilter.Parameterizer
Parameterization class.

AbstractNormalization
Abstract super class for all normalizations.

AbstractRandomFeatureSelectionFilter
A RandomProjectionParser selects a subset of attributes randomly for projection of a ParsingResult.

AbstractRandomFeatureSelectionFilter.Parameterizer
Parameterization class.

AttributeWiseMinMaxNormalization
Class to perform and undo a normalization on real vectors with respect to given minimum and maximum in each dimension.

AttributeWiseVarianceNormalization
Class to perform and undo a normalization on real vectors with respect to given mean and standard deviation in each dimension.

DoubleVectorProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes.

DoubleVectorRandomProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes.

InverseDocumentFrequencyNormalization
Normalization for text frequency vectors, using the inverse document frequency.

NonNumericFeaturesException
An exception to signal the encounter of non numeric features where numeric features have been expected.

Normalization
Normalization performs a normalization on a set of feature vectors and is capable to transform a set of feature vectors to the original attribute ranges.

ObjectFilter
Object filters as part of the input step.

SparseFloatVectorProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes.

SparseFloatVectorRandomProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes.

SplitNumberVectorFilter
Split an existing column into two types.