Two Dimensional Projection Pursuit Applied to Gaussian Mixture Model Fitting
In this paper we seek a Gaussian mixture model (GMM) of an n-variate probability density function. Usually the parameters of GMMs are determined by a maximum likelihood (ML) criterion. A practical deficiency of ML fitting of GMMs is poor performance when dealing with high-dimensional data since a la...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
International Institute of Informatics and Cybernetics
2003-08-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
| Subjects: | |
| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/P689419.pdf
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