GeCiM: A novel generalized approach to C-means clustering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5197 LNCS, Issue , 2008, Pages 235-242

  Szilágyi, László ^a,b   Iclǎnzan, David ^a,c   Szilágyi, Sándor M ^a   Dumitrescu, Dan ^c  

^a SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA   (Romania)

^b BUDAPEST UNIVERSITY OF TECHNOLOGY AND ECONOMICS   (Hungary)

^c BABE BOLYAI UNIVERSITY   (Romania)

Author keywords

Evolutionary computation; Fuzzy c means clustering; Hard c means clustering; Possibilistic c means clustering

Indexed keywords

EVOLUTIONARY ALGORITHMS; MIXTURES; PATTERN RECOGNITION;

C-MEANS CLUSTERING; C-MEANS CLUSTERING ALGORITHM; FUZZY C MEANS CLUSTERING; HARD C-MEANS CLUSTERING; OBJECTIVE FUNCTIONS; OPTIMAL SOLUTIONS; POSSIBILISTIC C-MEANS CLUSTERING;

CLUSTERING ALGORITHMS;

EID: 55349085808     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85920-8_29     Document Type: Conference Paper

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