Result 1 to 9 from 9 total
A bootstrap procedure for mixture models. (English)
Kiers, Henk A. L. (ed.) et al., Data analysis, classification, and related methods. Papers from the 7th conference of the International Federation of Classification Societies (IFCS-2000), Namur, Belgium, July 11-14, 2000. Berlin: Springer. Studies in Classification, Data Analysis, and Knowledge Organization. 59-62 (2000).
1
Multiple trees: Fitting two or more tree structures to proximity data. (English)
Mirkin, Boris (ed.) et al., Mathematical hierarchies and biology. DIMACS workshop, November 13-15, 1996. Providence, RI: AMS, American Mathematical Society. DIMACS, Ser. Discrete Math. Theor. Comput. Sci. 37, 313-330 (1997).
2
Tree and other network models for representing proximity data. (English)
Arabie, P. (ed.) et al., Clustering and classification. Singapore: World Scientific. 157-197 (1996).
3
Clustering and classification. (English)
Singapore: World Scientific. ix, 490 p. \$ 109.00, \sterling 75.00 (hbk); \$ 61.00; \sterling 42.00 (pbk) (1996).
4
A latent class vector model for preference ratings. (English)
J. Classif. 10, No.2, 195-218 (1993).
5
A Thurstonian pairwise choice model with univariate and multivariate spline transformations. (English)
Psychometrika 58, No.2, 233-256 (1993).
6
Least squares algorithms for constructing constrained ultrametric and additive tree representations of symmetric proximity data. (English)
J. Classif. 4, No.2, 155-173 (1987).
7
A perceptual study of the flury-riedwyl faces for graphically displaying multivariate data (English)
International Journal of Man-Machine Studies 25, No. 5, 549-555 (1986).
8
Optimal variable weighting for hierarchical clustering: An alternating least-squares algorithm. (English)
J. Classif. 2, 173-192 (1985).
9
Result 1 to 9 from 9 total
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