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.
Keywords for this software
References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- 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)