Hybrid clustering of data and vague concepts based on labels semantics

Abstract

Data clustering is the process of dividing data elements into clusters so that items in the same cluster are as similar as possible, and items in different clusters are as dissimilar as possible. One of the key features for clustering is how to define a sensible similarity measure. Such measures usually handle data in one modality, but unable to cluster… (More)
DOI: 10.1007/s10479-017-2541-0

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