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Cluster Algorithms

This category contains 15 nodes.

OPTICS (3.7)

Basic implementation of OPTICS clustering algorithm that should *not* be used as a reference for runtime benchmarks: more sophisticated implementations […]

SelfOrganizingMap (3.7)

A Clusterer that implements Kohonen's Self Organizing Map algorithm for unsupervised clustering

sIB (3.7)

Cluster data using the sequential information bottleneck algorithm. Note: only hard clustering scheme is supported

SimpleKMeans (3.7)

Cluster data using the k means algorithm

XMeans (3.7)

Cluster data using the X-means algorithm. X-Means is K-Means extended by an Improve-Structure part In this part of the algorithm the centers are attempted […]