Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans |
K-means clustering and variations.
|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality |
Quality measures for k-Means results.
|
Modifier and Type | Field and Description |
---|---|
private KMeansQualityMeasure<? super V,? super D> |
BestOfMultipleKMeans.qualityMeasure
Quality measure which should be used.
|
protected KMeansQualityMeasure<? super V,? super D> |
BestOfMultipleKMeans.Parameterizer.qualityMeasure
Quality measure.
|
Constructor and Description |
---|
BestOfMultipleKMeans(int trials,
KMeans<V,D,M> innerkMeans,
KMeansQualityMeasure<? super V,? super D> qualityMeasure)
Constructor.
|
Modifier and Type | Class and Description |
---|---|
class |
WithinClusterMeanDistanceQualityMeasure
Class for computing the average overall distance.
|
class |
WithinClusterVarianceQualityMeasure
Class for computing the variance in a clustering result (sum-of-squares).
|