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Packages that use de.lmu.ifi.dbs.elki.datasource.filter | |
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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 | |
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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 | |
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NonNumericFeaturesException
An exception to signal the encounter of non numeric features where numeric features have been expected. |
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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 | |
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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 | |
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AbstractConversionFilter
Abstract base class for simple conversion filters such as normalizations and projections. |
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AbstractFeatureSelectionFilter
A ProjectionParser projects the objects of its base parser onto a subspace specified by a BitSet. |
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AbstractFeatureSelectionFilter.Parameterizer
Parameterization class. |
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AbstractNormalization
Abstract super class for all normalizations. |
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AbstractRandomFeatureSelectionFilter
A RandomProjectionParser selects a subset of attributes randomly for projection of a ParsingResult. |
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AbstractRandomFeatureSelectionFilter.Parameterizer
Parameterization class. |
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AttributeWiseMinMaxNormalization
Class to perform and undo a normalization on real vectors with respect to given minimum and maximum in each dimension. |
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AttributeWiseVarianceNormalization
Class to perform and undo a normalization on real vectors with respect to given mean and standard deviation in each dimension. |
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DoubleVectorProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes. |
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DoubleVectorRandomProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes. |
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InverseDocumentFrequencyNormalization
Normalization for text frequency vectors, using the inverse document frequency. |
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NonNumericFeaturesException
An exception to signal the encounter of non numeric features where numeric features have been expected. |
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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. |
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ObjectFilter
Object filters as part of the input step. |
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SparseFloatVectorProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a selected subset of attributes. |
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SparseFloatVectorRandomProjectionFilter
Parser to project the ParsingResult obtained by a suitable base parser onto a randomly selected subset of attributes. |
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SplitNumberVectorFilter
Split an existing column into two types. |
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