Normal Mixtures Clustering Platform Overview
Normal Mixtures is one of four platforms that JMP provides for clustering observations. For a comparison of all four methods, see “Overview of Platforms for Clustering Observations”.
Normal mixtures is an iterative clustering technique for numerical variables. However, it also predicts the proportion of responses expected within each cluster. Normal mixtures assumes that the joint probability distribution of the measurement columns can be approximated using a mixture of multivariate normal distributions, which represent different clusters. Mean vectors and covariance matrices are estimated for each cluster. See McLachlan and Krishnan (1997) and Section 9.6 in Hand et al. (2001).
Note: The Normal ...

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