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  • Search: subject:"Proximity data"
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Subject
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proximity data 5 Proximity data 4 consumer psychology 3 hierarchical clustering 3 multidimensional scaling 3 Alternating least squares 2 Cluster analysis 2 Clustering 2 INDCLUS 2 asymmetric proximity data 2 conditional rank orders 2 maximum likelihood estimation 2 ADCLUS 1 Additive clustering 1 Assessment 1 Assignment measures 1 Assignment-Prototype Algorithm 1 Block-Relaxation algorithms 1 Dissimilarity data 1 Fuzzy approach 1 Incomplete data 1 Krumhansl's distance-density model 1 Least squares method 1 Numerical classification 1 Overlapping clusters 1 Psychology 1 Psychometrics 1 Social Sciences 1 Statistical Theory and Methods 1 Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law 1 Testing and Evaluation 1 Three-Way data 1 Three-way analysis 1 Three-way proximity data 1 Tversky's contrast model 1 brand switching data 1 clustering 1 market structure 1 minimum spanning trees 1 network models 1
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Undetermined 11 Free 1
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Article 11 Other 1
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Undetermined 11 English 1
Author
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DeSarbo, Wayne 2 Kiers, Henk 2 Soete, Geert 2 Carroll, J. 1 DeSarbo, Wayne S. 1 Depril, Dirk 1 Desarbo, Wayne S. 1 Edwards, Elizabeth 1 Giordani, Paolo 1 Johnson, Michael 1 MacKay, David B. 1 Manrai, Ajay 1 Manrai, Ajay K. 1 Manrai, Lalita 1 Mechelen, Iven 1 Wilderjans, Tom 1 Windham, Michael 1 Young, Martin 1 Young, Martin R. 1 Zinnes, Joseph L. 1
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Journal of Classification 5 Psychometrika 4 Marketing Science 2
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RePEc 11 BASE 1
Showing 1 - 10 of 12
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Block-Relaxation Approaches for Fitting the INDCLUS Model
Wilderjans, Tom; Depril, Dirk; Mechelen, Iven - In: Journal of Classification 29 (2012) 3, pp. 277-296
A well-known clustering model to represent I × I × J data blocks, the J frontal slices of which consist of I × I object by object similarity matrices, is the INDCLUS model. This model implies a grouping of the I objects into a prespecified number of overlapping clusters, with each...
Persistent link: https://www.econbiz.de/10011000041
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FINDCLUS: Fuzzy INdividual Differences CLUStering
Giordani, Paolo; Kiers, Henk - In: Journal of Classification 29 (2012) 2, pp. 170-198
Persistent link: https://www.econbiz.de/10010558353
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A parametric procedure for ultrametric tree estimation from conditional rank order proximity data
Young, Martin R.; DeSarbo, Wayne S. - 1995
models (e.g., hierarchical or ultrametric trees) for the analysis of ordinal proximity data are plagued by potential … proximity data. We present the technical aspects of the model and the estimation algorithm. Some preliminary Monte Carlo results …
Persistent link: https://www.econbiz.de/10009476616
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A modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS models
Kiers, Henk - In: Journal of Classification 14 (1997) 2, pp. 297-310
Persistent link: https://www.econbiz.de/10005156039
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“Minimax length links” of a dissimilarity matrix and minimum spanning trees
Carroll, J. - In: Psychometrika 60 (1995) 3, pp. 371-374
Persistent link: https://www.econbiz.de/10005603279
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A parametric procedure for ultrametric tree estimation from conditional rank order proximity data
Young, Martin; DeSarbo, Wayne - In: Psychometrika 60 (1995) 1, pp. 47-75
Persistent link: https://www.econbiz.de/10005603510
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Tscale: A new multidimensional scaling procedure based on tversky's contrast model
DeSarbo, Wayne; Johnson, Michael; Manrai, Ajay; Manrai, … - In: Psychometrika 57 (1992) 1, pp. 43-69
Persistent link: https://www.econbiz.de/10005381996
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A New Multidimensional Scaling Methodology for the Analysis of Asymmetric Proximity Data in Marketing Research
Desarbo, Wayne S.; Manrai, Ajay K. - In: Marketing Science 11 (1992) 1, pp. 1-20
) distance-density model for the analysis of asymmetric proximity data. In Krumhansl's conceptualization, the symmetric Euclidean … compared with the solutions obtained from several of the currently available procedures for handling asymmetric proximity data …
Persistent link: https://www.econbiz.de/10008788125
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A Probabilistic Model for the Multidimensional Scaling of Proximity and Preference Data
MacKay, David B.; Zinnes, Joseph L. - In: Marketing Science 5 (1986) 4, pp. 325-344
A probabilistic multidimensional scaling model that estimates both location and variance parameters for proximity and preference data is described and compared to a deterministic scaling model. Simulated and empirical choice data are used to compare models. Variance estimates from the...
Persistent link: https://www.econbiz.de/10008787511
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Numerical classification of proximity data with assignment measures
Windham, Michael - In: Journal of Classification 2 (1985) 1, pp. 157-172
Persistent link: https://www.econbiz.de/10005757480
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