High-dimensional unsupervised selection and estimation of a finite generalized Dirichlet mixture model based on minimum message length.

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• Concordia University

1. Related Articles High-dimensional unsupervised selection and estimation of a finite generalized Dirichlet mixture model based on minimum message length. IEEE Trans Pattern Anal Mach Intell. 2007 Oct;29(10):1716-31 Authors: Bouguila N, Ziou D We consider the problem of determining the structure of high-dimensional data, without prior knowledge of the number of clusters. Data are represented by a finite mixture model based on the generalized Dirichlet distribution. The generalized Dirichlet distribution has a more general covariance structure than the Dirichlet distribution and offers high flexibility and ease of use for the approximation of both symmetric and asymmetric distributions. This makes the generalized ... (Read Full Article)

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