Similar Search Results

Constructing optimal ultrametrics

Sriram, N.; Lewis, Scott - In: Journal of Classification 10 (1993) 2, pp. 241-268

Persistent link: https://www.econbiz.de/10005376078

Ultrametric tree representations of incomplete dissimilarity data

Soete, Geert - In: Journal of Classification 1 (1984) 1, pp. 235-242

Persistent link: https://www.econbiz.de/10005376095

The representation of three-way proximity data by single and multiple tree structure models

Carroll, J.; Clark, Linda; DeSarbo, Wayne - In: Journal of Classification 1 (1984) 1, pp. 25-74

Persistent link: https://www.econbiz.de/10005376106

Cluster analysis of dyad distributions in networks

Frank, Ove; Komańska, Henryka; Widaman, Keith - In: Journal of Classification 2 (1985) 1, pp. 219-238

Persistent link: https://www.econbiz.de/10005376115

An error variance approach to two-mode hierarchical clustering

Eckes, Thomas; Orlik, Peter - In: Journal of Classification 10 (1993) 1, pp. 51-74

Persistent link: https://www.econbiz.de/10005376130

The mixture method of clustering applied to three-way data

Basford, Kaye; McLachlan, Geoffrey - In: Journal of Classification 2 (1985) 1, pp. 109-125

Persistent link: https://www.econbiz.de/10005376160

Clustering and isolation in the consensus problem for partitions

Neumann, Dean; Norton, Victor - In: Journal of Classification 3 (1986) 2, pp. 281-297

Persistent link: https://www.econbiz.de/10005376170

Fitting a Mixture Model to Three-Mode Three-Way Data with Categorical and Continuous Variables

Hunt, Lynette A.; Basford, Kaye E. - In: Journal of Classification 16 (1999) 2, pp. 283-296

The mixture likelihood approach to clustering is most often used with two-mode two-way data to cluster one of the modes … measured on entities in different situations), an analogous procedure is needed to enable the clustering of the entities (i … situations). In this paper, it is shown that the finite mixture approach to clustering can be extended to analyze three …

Persistent link: https://www.econbiz.de/10010794931

Combining Association Measures for Collocation Extraction Using Clustering of Receiver Operating Characteristic Curves

Antoch, Jaromír; Prchal, Luboš; Sarda, Pascal - In: Journal of Classification 30 (2013) 1, pp. 100-123

This paper focuses on combining association measures using corresponding receiver operating characteristic curves. The approach is motivated by a problem of automatic bigram collocation extraction from the field of computational linguistics. It is based on supervised machine learning techniques...

Persistent link: https://www.econbiz.de/10011000043

Three-way distances

Joly, S.; Calvé, G. - In: Journal of Classification 12 (1995) 2, pp. 191-205

Persistent link: https://www.econbiz.de/10004999463