02018nam0 2200421 i 450 VAN0011507820240806100753.152N978-981-10-0159-820180221d2016 |0itac50 baengSG|||| |||||Nonlinear principal component analysis and its applicationsYuichi Mori, Masahiro Kuroda, Naomichi Makino[Singapore]Springer2016X, 80 p.ill.24 cm001VAN001139682001 SpringerBriefs in Statistics. JSS research series in statistics210 Berlin [etc.]Springer2015-VAN00242984Nonlinear principal component analysis and its applications152351862-XXStatistics [MSC 2020]VANC022998MF62H25Factor analysis and principal components; correspondence analysis [MSC 2020]VANC025575MF62H30Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020]VANC028931MFAlternating Least SquaresKW:KMixed Measurement Level DataKW:KMultiple Correspondence AnalysisKW:KNonlinear PCAKW:KOptimal ScalingKW:KSGSingaporeVANL000061MoriYuichiVANV089091756013KurodaMasahiroVANV089092756014MakinoNaomichiVANV089093756015Springer <editore>VANV108073650ITSOL20240906RICAhttp://dx.doi.org/10.1007/978-981-10-0159-8E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA CENTRO DI SERVIZIO SBAVAN15NVAN00115078BIBLIOTECA CENTRO DI SERVIZIO SBA15CONS SBA EBOOK 2412 15EB 2412 20180221 Nonlinear principal component analysis and its applications1523518UNICAMPANIA