Package | Description |
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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.
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de.lmu.ifi.dbs.elki.distance.distancefunction.subspace |
Distance functions based on subspaces.
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Modifier and Type | Field and Description |
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private DiSHDistanceFunction |
DiSH.dishDistance
The distance function we use
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protected DiSHDistanceFunction |
DiSH.Parameterizer.dishDistance |
Modifier and Type | Method and Description |
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void |
DiSH.Parameterizer.configOPTICS(Parameterization config,
int minpts,
DiSHDistanceFunction dishDistance)
Get the parameters for embedded OPTICS.
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Constructor and Description |
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DiSH(double epsilon,
DiSHDistanceFunction dishDistance,
Collection<Pair<OptionID,Object>> opticsAlgorithmParameters)
Constructor.
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Modifier and Type | Method and Description |
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protected DiSHDistanceFunction |
DiSHDistanceFunction.Parameterizer.makeInstance() |
Constructor and Description |
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DiSHDistanceFunction.Instance(Relation<V> database,
DiSHPreferenceVectorIndex<V> index,
double epsilon,
DiSHDistanceFunction distanceFunction)
Constructor.
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