Similar objects and groups extraction from a fuzzy relation

In this paper, we present two approaches for extracting similarities between data from a fuzzy relation at a given similarity level: (i) the extraction of similar objects, (ii) the extraction of similar groups. We identify a gathering of similar objects by scanning all the objects properties using a similarity measure, and we identify a similar group as a set of objects similar to a given subset of properties. We propose to combine between these two approaches by considering different levels of similarity.