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Nonlinear principal component analysis and its applications
This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data. In the part dealing with the principle, after a brief introduction of ordinary PCA, a PCA for categorical data (nominal and ordi...
Autores principales: | Mori, Yuichi, Kuroda, Masahiro, Makino, Naomichi |
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Lenguaje: | eng |
Publicado: |
Springer
2016
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-981-10-0159-8 http://cds.cern.ch/record/2240973 |
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