Uses of Interface
weka.clusterers.NumberOfClustersRequestable
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Uses of NumberOfClustersRequestable in weka.clusterers
Modifier and TypeClassDescriptionclass
Cluster data using the capopy clustering algorithm, which requires just one pass over the data.class
Simple EM (expectation maximisation) class.
EM assigns a probability distribution to each instance which indicates the probability of it belonging to each of the clusters.class
Class for wrapping a Clusterer to make it return a distribution and density.class
Cluster data using the k means algorithm.