cluster_similarity

Data frame or matrix: a similarity matrix

Numerical value: the number of clusters

Character value: GMM or km clustering algorithm (suggested=GMM)

clusteralg

Character value: Ng or Melia variant of spectral clustering (default=Ng)

specalg

This function performs clustering of a similarity matrix following the method
of Ng or of Melia. We recommend using the Ng method with GMM to cluster the 
eigenvectors instead of k-means.

A self-tuning spectral clustering method for single or multi-view data. 'Spectrum' uses a new type of adaptive density aware kernel that strengthens connections in the graph based on common nearest neighbours. It uses a tensor product graph data integration and diffusion procedure to integrate different data sources and reduce noise. 'Spectrum' uses either the eigengap or multimodality gap heuristics to determine the number of clusters. The method is sufficiently flexible so that a wide range of Gaussian and non-Gaussian structures can be clustered with automatic selection of K.

cluster_similarity: cluster_similarity: cluster a similarity matrix using the Ng method

Description

Usage

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Value

References

Examples