Package | Description |
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de.lmu.ifi.dbs.elki.math.dimensionsimilarity |
Functions to compute the similarity of dimensions (or the interestingness of the combination).
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Class and Description |
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CovarianceDimensionSimilarity
Class to compute the dimension similarity based on covariances.
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DimensionSimilarity
Interface for computing pairwise dimension similarities, used for arranging
dimensions in parallel coordinate plots.
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DimensionSimilarityMatrix
Class representing a similarity matrix between dimensions.
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DimensionSimilarityMatrix.PrimAdapter
Adapter class for running prim's algorithm.
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HiCSDimensionSimilarity
Use the statistical tests as used by HiCS to arrange dimensions.
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HSMDimensionSimilarity
Compute the similarity of dimensions by using a hough transformation.
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MCEDimensionSimilarity
Compute dimension similarity by using a nested means discretization.
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SlopeDimensionSimilarity
Arrange dimensions based on the entropy of the slope spectrum.
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SlopeInversionDimensionSimilarity
Arrange dimensions based on the entropy of the slope spectrum.
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SURFINGDimensionSimilarity
Compute the similarity of dimensions using the SURFING score.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.