Clustering quality and topology preservation in fast learning SOMs

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

Volumn 5163 LNCS, Issue PART 1, 2008, Pages 583-592

  Fiannaca, Antonino ^a,c   Di Fatta, Giuseppe ^b   Gaglio, Salvatore ^a,c   Rizzo, Riccardo ^a   Urso, Alfonso ^a  

^a CNR   (Italy)

^b UNIVERSITY OF READING   (United Kingdom)

^c UNIVERSITY OF PALERMO   (Italy)

Author keywords

Clustering; FLSOM; SOM

Indexed keywords

CLUSTERING; CLUSTERING QUALITY; CONVERGENCE TIME; FAST LEARNING; FLSOM; INPUT DATAS; INPUT SPACE; MULTI-DIMENSIONAL DATASETS; SELFORGANIZING MAP; SOM; TOPOLOGY PRESERVATION; TRAINING PHASE; UNSUPERVISED NEURAL NETWORKS;

BACKPROPAGATION; CONFORMAL MAPPING; CONVERGENCE OF NUMERICAL METHODS; DATA VISUALIZATION; NEURAL NETWORKS; STRENGTH OF MATERIALS; TOPOLOGY;

LEARNING ALGORITHMS;

EID: 58849089288     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87536-9_60     Document Type: Conference Paper

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