CDPCA: 10 years after
Clustering and Disjoint Principal Component Analysis (CDPCA) is a constrained principal component analysis for multivariate numerical data. The main goal is to detect clusters of objects and, simultaneously, to fi nd a partitioning of variables such that the between cluster deviance in the reduced s...
| Autor principal: | |
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| Formato: | bookPart |
| Idioma: | eng |
| Publicado em: |
2021
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| Texto completo: | http://hdl.handle.net/10773/32548 |
| País: | Portugal |
| Oai: | oai:ria.ua.pt:10773/32548 |