This third issue volume 9 (2015) of the journal Advances in Data Analysis and Classification (ADAC) includes articles which deal with: a biplot procedure after clustering objects and variables; an extension of classical principal component analysis to the case of non-linear reconstruction formulas (auto-associative models); a nonparametric fast and very robust new classifier, named DDα -classifier; and a clustering methodology for financial time series; finally a diffusion model for churn prediction based on sociometric theory.
Editorial for issue 3 2015 / Bock, Hh; Gaul, W; Okada, A; Vichi, M; Weihs, C. - In: ADVANCES IN DATA ANALYSIS AND CLASSIFICATION. - ISSN 1862-5347. - 9:3(2015), pp. 239-241. [10.1007/s11634-015-0214-x]
Editorial for issue 3 2015
Vichi, M
;
2015
Abstract
This third issue volume 9 (2015) of the journal Advances in Data Analysis and Classification (ADAC) includes articles which deal with: a biplot procedure after clustering objects and variables; an extension of classical principal component analysis to the case of non-linear reconstruction formulas (auto-associative models); a nonparametric fast and very robust new classifier, named DDα -classifier; and a clustering methodology for financial time series; finally a diffusion model for churn prediction based on sociometric theory.File | Dimensione | Formato | |
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