Detail publikace

On Vagueness and Hierarchical Clustering

ŽÁK, L.

Originální název

On Vagueness and Hierarchical Clustering

Anglický název

On Vagueness and Hierarchical Clustering

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

čeština

Originální abstrakt

Clustering of objects is one of branches of data mining. Recently are the processed data more and more described by vague values. It seems useful to cluster these data respecting their vagueness, too. The vagueness is described by fuzzy sets. This paper concerns with clustering of such data and is dealing with the impact of vagueness to hierarchical clustering. This paper follows papers presented at previous conferences (Zittau 2000, 2001, 2002) and especially paper “Fuzzy Objects and Fuzzy Clustering (Zittau 2000) describing clustering of fuzzy objects using extension principle.

Anglický abstrakt

Clustering of objects is one of branches of data mining. Recently are the processed data more and more described by vague values. It seems useful to cluster these data respecting their vagueness, too. The vagueness is described by fuzzy sets. This paper concerns with clustering of such data and is dealing with the impact of vagueness to hierarchical clustering. This paper follows papers presented at previous conferences (Zittau 2000, 2001, 2002) and especially paper “Fuzzy Objects and Fuzzy Clustering (Zittau 2000) describing clustering of fuzzy objects using extension principle.

Klíčová slova v angličtině

hierarchical clustering, clustering, fuzzy sets, fuzzy clustering

Autoři

ŽÁK, L.

Rok RIV

2004

Vydáno

8. 9. 2004

Nakladatel

n

Místo

Zittau

ISBN

3-9808089-5-5

Kniha

11th Zittau Fuzzy Colloquium

Strany od

126

Strany do

132

Strany počet

6

BibTex

@inproceedings{BUT13156,
  author="Libor {Žák}",
  title="On Vagueness and Hierarchical Clustering",
  booktitle="11th Zittau Fuzzy Colloquium",
  year="2004",
  pages="126--132",
  publisher="n",
  address="Zittau",
  isbn="3-9808089-5-5"
}