LEADER 02006nam0 2200421 i 450 001 VAN0115078 005 20220314020223.48 017 70$2N$a978-981-10-0159-8 100 $a20180221d2016 |0itac50 ba 101 $aeng 102 $aSG 105 $a|||| ||||| 200 1 $aNonlinear principal component analysis and its applications$fYuichi Mori, Masahiro Kuroda, Naomichi Makino 210 $a[Singapore]$cSpringer$d2016 215 $aX, 80 p.$cill.$d24 cm 410 1$1001VAN0113968$12001 $aSpringerBriefs in Statistics. JSS research series in statistics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0242984$aNonlinear principal component analysis and its applications$91523518 606 $a62-XX$xStatistics [MSC 2020]$3VANC022998$2MF 606 $a62H25$xFactor analysis and principal components; correspondence analysis [MSC 2020]$3VANC025575$2MF 606 $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$3VANC028931$2MF 610 $aAlternating Least Squares$9KW:K 610 $aMixed Measurement Level Data$9KW:K 610 $aMultiple Correspondence Analysis$9KW:K 610 $aNonlinear PCA$9KW:K 610 $aOptimal Scaling$9KW:K 620 $aSG$dSingapore$3VANL000061 700 1$aMori$bYuichi$3VANV089091$0756013 701 1$aKuroda$bMasahiro$3VANV089092$0756014 701 1$aMakino$bNaomichi$3VANV089093$0756015 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-981-10-0159-8$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$2VAN15 912 $fN 912 $aVAN0115078 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 2412 $e15EB 2412 20180221 996 $aNonlinear principal component analysis and its applications$91523518 997 $aUNICAMPANIA