|
Class Summary |
| Clusterer |
Abstract clusterer. |
| ClusterEvaluation |
Class for evaluating clustering models. |
| Cobweb |
|
| DistributionClusterer |
Abstract clustering model that produces (for each test instance)
an estimate of the membership in each cluster
(ie. |
| DistributionMetaClusterer |
Class that wraps up a Clusterer and presents it as a DistributionClusterer
for ease of programmatically handling Clusterers in general -- only the
one predict method (distributionForInstance) need be worried about. |
| EM |
Simple EM (estimation maximisation) class. |
| SimpleKMeans |
Simple k means clustering class. |