Result with impact on practice detail

Some Methods of Clustering of Fuzzy Objects

ŽÁK, L.

Original Title

Some Methods of Clustering of Fuzzy Objects

English Title

Some Methods of Clustering of Fuzzy Objects

Type

Multimedia

English abstract

Anotace: 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 and we used methods from fuzzy database, fuzzy regulator and extension principle for calculate dissimilarity of these objects

Key words in English

fuzzy sets, convex and a normal fuzzy set, extension principle, clustering, hierarchical clustering methods, non-hierarchical clustering methods, fuzzy clustering.

Authors

ŽÁK, L.

Released

01.10.2001

BibTex

@misc{BUT67245,
  author="Libor {Žák}",
  title="Some Methods of Clustering of Fuzzy Objects",
  year="2001",
  note="Multimedia"
}