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Instance
objects within an
InstanceList
.
See:
Description
Class Summary | |
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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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