Data clustering is the process of grouping data items so that similar items are placed in the same cluster. There are several different clustering techniques, and each technique has many variations.

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 38, No. 1 (March/mars 2010), pp. 153-168 (16 pages) A new family of mixture models for the model-based clustering of ...

All components share the same spherical covariance matrix. For estimating the similarity between two Gaussian mixtures, the L 2 L2 distance was chosen by the authors because there exists a closed-form ...

Clustering is concerned with coherently grouping observations without any explicit concept of true groupings. Spectral graph clustering—clustering the vertices of a graph based on their spectral ...