Model-based clustering and classification methods provide a systematic statistical approach to clustering, classification, and density estimation via mixture modeling. The model-based framework allows the problems of choosing or developing methods to be understood within the context of statistical modeling.
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Model-based clustering and classification methods provide a systematic statistical approach to clustering, classification, and density estimation via mixture modeling. The model-based framework allows the problems of choosing or developing methods to be understood within the context of statistical modeling.
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Add this copy of Model-Based Clustering, Classification, and Density to cart. $67.62, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2023 by CRC Press.
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New. Trade paperback (US). Glued binding. 242 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color, Line drawings, black & white, Line drawings, color, Tables, black & white. Chapman & Hall/CRC the R. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
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New. Trade paperback (US). Glued binding. 242 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color, Line drawings, black & white, Line drawings, color, Tables, black & white. Chapman & Hall/CRC the R.
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