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Instance objects within an
InstanceList.
See:
Description
| Class Summary | |
|---|---|
| Clusterer | An abstract class for clustering a set of points. |
| Clustering | |
| Clusterings | |
| GreedyAgglomerative | Greedily merges Instances until convergence. |
| GreedyAgglomerativeByDensity | Greedily merges Instances until convergence. |
| HillClimbingClusterer | A Clusterer that iteratively improves a predicted Clustering using
a NeighborEvaluator. |
| KBestClusterer | Return the K best predicted Clusterings |
| KMeans | KMeans Clusterer Clusters the points into k clusters by minimizing the total intra-cluster variance. |
| Record | |
Unsupervised clustering of Instance objects within an
InstanceList.
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