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 ord...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Mori, Yuichi (Autor), Kuroda, Masahiro (Autor), Makino, Naomichi (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:JSS Research Series in Statistics,
Temas:
Statistics .
Mathematical statistics-Data processing.
Social sciences-Statistical methods.
Statistical Theory and Methods.
Statistics and Computing.
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.
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