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Model-Based Clustering, Classification, and Density Estimation Using mclust in R - Chapman & Hall / CRC The R Series Luca Scrucca
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Model-Based Clustering, Classification, and Density Estimation Using mclust in R - Chapman & Hall / CRC The R Series
Luca Scrucca
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.
288 pages, 72 Line drawings, color; 28 Line drawings, black and white; 72 Illustrations, color; 28 I
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2023. gada 20. aprīlis |
| ISBN13 | 9781032234953 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 242 |
| Izmēri | 234 × 154 × 18 mm · 446 g |
| Valoda | Angļu |
