Fuzzy-possibilistic product partition: A novel robust approach to c-means clustering

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

Volumn 6820 LNAI, Issue , 2011, Pages 150-161

  Szilágyi, László ^a  

^a SAPIENTIA HUNGARIAN UNIVERSITY OF TRANSYLVANIA   (Romania)

Author keywords

fuzzy c means algorithm; possibilistic partition; probabilistic partition; robust clustering

Indexed keywords

C-MEANS; C-MEANS CLUSTERING; CLUSTERING MODEL; FINITE DISTANCE; FUZZY C-MEANS ALGORITHMS; FUZZY PARTITION; HIGH QUALITY; MIXTURE MODEL; POSSIBILISTIC; PROBABILISTIC PARTITION; ROBUST APPROACHES; ROBUST CLUSTERING; TWO-COMPONENT; FUZZY MIXTURE MODELS;

ARTIFICIAL INTELLIGENCE; C (PROGRAMMING LANGUAGE); COPYING; FUZZY CLUSTERING; FUZZY SYSTEMS; MIXTURES; STATISTICS; CLUSTER ANALYSIS; FUZZY LOGIC;

CLUSTERING ALGORITHMS;

EID: 79961157200     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22589-5_15     Document Type: Conference Paper

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