Variable selection in model-based clustering using multilocus genotype data
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- Anzanello, Michel J. & Fogliatto, Flavio S., 2011. "Selecting the best clustering variables for grouping mass-customized products involving workers' learning," International Journal of Production Economics, Elsevier, vol. 130(2), pages 268-276, April.
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KeywordsModel-based clustering; Penalized maximum likelihood criteria; Population genetics; Variable selection; C89; 62H30;
- C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
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