caa a22 4500 465750303 CHVBK 20180323111832.0 cr unu---uuuuu 170327e19900901xx s 000 0 eng 10.1007/BF01908715 doi (NATIONALLICENCE)springer-10.1007/BF01908715 Mirkin Boris Central Economics-Mathematics Institute, Krasikova str. 32, 117418, Moscow W-418, U.S.S.R. aut A sequential fitting procedure for linear data analysis models [Elektronische Daten] [Boris Mirkin] A particular factor analysis model with parameter constraints is generalized to include classification problems definable within a framework of fitting linear models. The sequential fitting (SEFIT) approach of principal component analysis is extended to include several nonstandard data analysis and classification tasks. SEFIT methods attempt to explain the variability in the initial data (commonly defined by a sum of squares) through an additive decomposition attributable to the various terms in the model. New methods are developed for both traditional and fuzzy clustering that have useful theoretic and computational properties (principal cluster analysis, additive clustering, and so on). Connections to several known classification strategies are also stated. Springer-Verlag New York Inc., 1990 Cluster analysis nationallicence Fuzzy clustering nationallicence (bi)linear model nationallicence Principal clusters nationallicence Additive clusters nationallicence Association measures for cross-classifications nationallicence Additive types nationallicence Journal of Classification Springer-Verlag 7/2(1990-09-01), 167-195 0176-4268 7:2<167 1990 7 357 https://doi.org/10.1007/BF01908715 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01908715 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Mirkin Boris Central Economics-Mathematics Institute, Krasikova str. 32, 117418, Moscow W-418, U.S.S.R aut NATIONALLICENCE 773 0- Journal of Classification Springer-Verlag 7/2(1990-09-01), 167-195 0176-4268 7:2<167 1990 7 357 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer