LEADER 01581nam0 2200349 i 450 
001 SUN0115078
005 20180301095305.516
010   $d0.00
017 70$2N$a978-981-10-0159-8
100   $a20180221d2016       |0engc50      ba
101   $aeng
102   $aSG
105   $a||||    |||||
200 1 $a*Nonlinear principal component analysis and its applications$fYuichi Mori, Masahiro Kuroda, Naomichi Makino
205   $a[Singapore] : Springer, 2016
210   $aX$d80 p.$cill. ; 24 cm
215   $aPubblicazione in formato elettronico
410  1$1001SUN0113968$12001 $a*SpringerBriefs in Statistics. JSS research series in statistics$1210  $aBerlin$cSpringer.
606   $a62-XX$xStatistics [MSC 2020]$2MF$3SUNC022998
606   $a62H25$xFactor analysis and principal components; correspondence analysis [MSC 2020]$2MF$3SUNC025575
606   $a62H30$xClassification and discrimination; cluster analysis (statistical aspects) [MSC 2020]$2MF$3SUNC028931
620   $aSG$dSingapore$3SUNL000061
700  1$aMori$b, Yuichi$3SUNV089091$0756013
701  1$aKuroda$b, Masahiro$3SUNV089092$0756014
701  1$aMakino$b, Naomichi$3SUNV089093$0756015
712   $aSpringer$3SUNV000178$4650
801   $aIT$bSOL$c20201026$gRICA
856 4 $uhttp://dx.doi.org/10.1007/978-981-10-0159-8
912   $aSUN0115078
950   $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS      SBA EBOOK 2412                      $e15EB 2412              20180221            
996   $aNonlinear principal component analysis and its applications$91523518
997   $aUNICAMPANIA