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The problem of determining the appropriate number of components is important in finite mixture modeling for pattern classification. This paper considers the application of an unsupervised clustering method called AutoClass to training of orthogonal Gaussian mixture models (OGMM). Actually, the number of components in OGMM of each class is selected based on AutoClass. In this way, the structures of...
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