This category contains 15 nodes.
Cascade simple k means, selects the best k according to calinski-harabasz criterion
Yiling Yang, Xudong Guan, Jinyuan You: CLOPE: a fast and effective clustering algorithm for transactional data
Class implementing the Cobweb and Classit clustering algorithms. Note: the application of node operators (merging, splitting etc.) in terms of ordering and […]
Basic implementation of DBSCAN clustering algorithm that should *not* be used as a reference for runtime benchmarks: more sophisticated implementations […]
Simple EM (expectation maximisation) class. EM assigns a probability distribution to each instance which indicates the probability of it belonging to each […]
Cluster data using the FarthestFirst algorithm. For more information see: Hochbaum, Shmoys (1985)
Class for running an arbitrary clusterer on data that has been passed through an arbitrary filter
Hierarchical clustering class. Implements a number of classic agglomorative (i.e
A Clusterer that implements Learning Vector Quantization algorithm for unsupervised clustering
Class for wrapping a Clusterer to make it return a distribution and density
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