Alternating Least Squares Optimal Variable Weighting Algorithms for Ultrametric and Additive Tree Representations

An alternating least squares algorithm is developed for constructing either an ultrametric or an additive tree representation of profile data. The algorithm simultaneously estimates the best fitting tree and optimal variable weights for converting the profile data into dissimilarities. An application of the algorithm to a set of synthetic data is presented and some extensions of the method are briefly discussed

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Year of publication:	2016
Authors:	De Soete, Geert ; Carroll, J. ; DeSarbo, Wayne S.
Publisher:	[S.l.] : SSRN

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Extent:	1 Online-Ressource (7 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	In: CLASSIFICATION AS A TOOL OF RESEARCH, W. Gaul and M. Schader (Eds.), Elsevier Science Publishers B.V. (North-Holland), pp. 97-103 Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments 1986 erstellt
Source:	ECONIS - Online Catalogue of the ZBW

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