Package | Description |
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de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
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Modifier and Type | Class and Description |
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class |
KMeansLloyd<V extends NumberVector<V,?>,D extends Distance<D>>
Provides the k-means algorithm, using Lloyd-style bulk iterations.
|
class |
KMeansMacQueen<V extends NumberVector<V,?>,D extends Distance<D>>
Provides the k-means algorithm, using MacQueen style incremental updates.
|
class |
KMediansLloyd<V extends NumberVector<V,?>,D extends Distance<D>>
Provides the k-medians clustering algorithm, using Lloyd-style bulk
iterations.
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Modifier and Type | Method and Description |
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protected AbstractKMeans<V,D> |
KMeansLloyd.Parameterizer.makeInstance() |
protected AbstractKMeans<V,D> |
KMeansMacQueen.Parameterizer.makeInstance() |
protected AbstractKMeans<V,D> |
KMediansLloyd.Parameterizer.makeInstance() |