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

CLASSIFICATION AS A TOOL OF RESEARCH, W. Gaul and M. Schader (Eds.), Elsevier Science Publishers B.V. (North-Holland), pp. 97-103

7 Pages Posted: 28 May 2016

See all articles by Geert De Soete

Geert De Soete

Ghent University

J. Carroll

Rutgers, The State University of New Jersey (Deceased)

Wayne S. DeSarbo

Pennsylvania State University

Date Written: 1986

Abstract

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.

Suggested Citation

De Soete, Geert and Carroll, J. and DeSarbo, Wayne S., Alternating Least Squares Optimal Variable Weighting Algorithms for Ultrametric and Additive Tree Representations (1986). CLASSIFICATION AS A TOOL OF RESEARCH, W. Gaul and M. Schader (Eds.), Elsevier Science Publishers B.V. (North-Holland), pp. 97-103, Available at SSRN: https://ssrn.com/abstract=2783972

Geert De Soete

Ghent University ( email )

Coupure Links 653
Gent, 9000
Belgium

J. Carroll

Rutgers, The State University of New Jersey (Deceased)

Wayne S. DeSarbo (Contact Author)

Pennsylvania State University ( email )

University Park
State College, PA 16802
United States

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