Package | Description |
---|---|
de.lmu.ifi.dbs.elki.algorithm.clustering.kmeans.quality |
Quality measures for k-Means results.
|
Modifier and Type | Class and Description |
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class |
AkaikeInformationCriterion
Akaike Information Criterion (AIC).
|
class |
BayesianInformationCriterion
Bayesian Information Criterion (BIC), also known as Schwarz criterion (SBC,
SBIC) for the use with evaluating k-means results.
|
class |
BayesianInformationCriterionZhao
Different version of the BIC criterion.
|
class |
WithinClusterVarianceQualityMeasure
Class for computing the variance in a clustering result (sum-of-squares).
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.