An examination of indexes for determining the number of clusters in binary data sets

DOI10.1007/BF02294713zbMath1297.62229OpenAlexW2077748623MaRDI QIDQ463090

Sara Dolničar, Evgenia Dimitriadou, Andreas Weingessel

Publication date: 15 October 2014

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294713

zbMATH Keywords

binary datamarket segmentationnumber of clustersartificial data setsclustering indexes

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to psychology (62P15)

Related Items (9)

Time Series Clustering on Lower Tail Dependence for Portfolio Selection ⋮ Dynamic tail dependence clustering of financial time series ⋮ A combined approach for segment-specific market basket analysis ⋮ Effects of resampling in determining the number of clusters in a data set ⋮ Using projection-based clustering to find distance- and density-based clusters in high-dimensional data ⋮ Iterative factor clustering of binary data ⋮ A comparison of heuristic procedures for minimum within-cluster sums of squares partitioning ⋮ On clustering shape data ⋮ Intelligent choice of the number of clusters in \(K\)-means clustering: an experimental study with different cluster spreads

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• ON STOCHASTIC CONVERGENCE THEOREMS FOR THE FUZZYC-MEANS CLUSTERING PROCEDURE∗
• Measuring the Power of Hierarchical Cluster Analysis
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