cclust: Convex Clustering Methods and Clustering Indexes. Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive Learning), and calculation of several indexes for finding the number of clusters in a data set.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Dehmer, Matthias (ed.); Shi, Yongtang (ed.); Emmert-Streib, Frank (ed.): Computational network analysis with R. Applications in biology, medicine and chemistry (2017)
- Sabo, Miroslav: Consensus clustering with differential evolution (2014)
- Kraus, Johann M.; Müssel, Christoph; Palm, Günther; Kestler, Hans A.: Multi-objective selection for collecting cluster alternatives (2011)
- Leisch, Friedrich: A toolbox for $K$-centroids cluster analysis (2006)