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  • Search: subject:"Categorical attribute quantification"
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Binary data 1 Categorical attribute quantification 1 Cluster analysis 1 Correspondence analysis 1
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Alfonso Iodice D’Enza 1 Palumbo, Francesco 1
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Computational Statistics 1
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Iterative factor clustering of binary data
Alfonso Iodice D’Enza; Palumbo, Francesco - In: Computational Statistics 28 (2013) 2, pp. 789-807
Binary data represent a very special condition where both measures of distance and co-occurrence can be adopted. Euclidean distance-based non-hierarchical methods, like the k-means algorithm, or one of its versions, can be profitably used. When the number of available attributes increases the...
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