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 users granularity with respect to the values of attributes in the original data. This method is demonstrated using data from ALLBUS 1996.
CITATION STYLE
Bittner, P., Eckes, C., & Wolff, K. E. (1999). Conceptual Meaning of Clusters (pp. 279–286). https://doi.org/10.1007/978-3-642-60187-3_28
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