Initialization of Possibilistic Clustering via Mountain Clustering Method

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SYSNO ASEP	0404057
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve SCOPUS
Title	Initialization of Possibilistic Clustering via Mountain Clustering Method
Author(s)	Coufal, David (UIVT-O)_{RID, SAI, ORCID}
Source Title	Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552 Roč. 10, č. 5 (2000), s. 797-809
Number of pages	13 s.
Action	SOFSEM 2000 Workshop on Soft Computing
Event date	27.11.2000-28.11.2000
VEvent location	Milovy
Country	CZ - Czech Republic
Language	eng - English
Country	CZ - Czech Republic
Keywords	Mountain clustering ; fuzzy c-means ; possibilistic c-means
Subject RIV	BA - General Mathematics
R&D Projects	GA201/00/1489 GA ČR - Czech Science Foundation (CSF)
CEZ	1030915
EID SCOPUS	0034486783
Annotation	A combination of mountain clustering method with fuzzy c-means and possibilistic c-means algorithms is investigated. The idea of this combination is driven by an effort for automated setting of input parameters of fuzzy c-means algorithms. The proposed solutions are demonstrated on several experiments.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2001

Number of the records: 1