Abstract

The interpretation of cluster analysis solutions in the case of objectattribute data can be supported by methods of Formal Concept Analysis leading to a conceptual understanding of the “meaning” of clusters, partitions and dendrograms. The central idea is the embedding of a given cluster in a conceptual scale which represents the user’s granularity with respect to the values of attributes in the original data. This method is demonstrated using data from ALLBUS 1996.

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