Geodesic
Clustering of vaguely defined objects
Archivum mathematicum, Tome 39 (2003) no. 1, pp. 37-50
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This paper is concerned with the clustering of objects whose properties cannot be described by exact data. These can only be described by fuzzy sets or by linguistic values of previously defined linguistic variables. To cluster these objects we use a generalization of classic clustering methods in which instead of similarity (dissimilarity) of objects, used fuzzy similarity (fuzzy dissimilarity) to define the clustering of fuzzy objects.
This paper is concerned with the clustering of objects whose properties cannot be described by exact data. These can only be described by fuzzy sets or by linguistic values of previously defined linguistic variables. To cluster these objects we use a generalization of classic clustering methods in which instead of similarity (dissimilarity) of objects, used fuzzy similarity (fuzzy dissimilarity) to define the clustering of fuzzy objects.
Classification : 26E50, 62H30, 68T10
Keywords: fuzzy sets; extension principle; clustering methods; fuzzy clustering 
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Žák, Libor. Clustering of vaguely defined objects. Archivum mathematicum, Tome 39 (2003) no. 1, pp. 37-50. http://geodesic.mathdoc.fr/item/ARM_2003_39_1_a3/

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