Clustering large, multi-level data sets: An approach based on kohonen self organizing maps

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

Volumn 1910, Issue , 2000, Pages 353-358

  Ciampi, Antonio ^a,b   Lechevallier, Yves ^c  

^a MCGILL UNIVERSITY   (Canada)

^b INTERNATIONAL AGENCY FOR RESEARCH ON CANCER   (France)

^c INRIA ROCQUENCOURT   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; CONFORMAL MAPPING; DATA MINING; NUTRITION; SELF ORGANIZING MAPS;

CLUSTERING METHODS; HIGHER-LEVEL VARIABLES; KOHONEN SELF-ORGANIZING MAPS; MIXTURE OF DISTRIBUTIONS; MODEL-BASED CLUSTERING; MULTI-LEVEL STRUCTURES; STATISTICAL MODELING; STATISTICAL MODELLING;

CLUSTERING ALGORITHMS;

EID: 84974663235     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45372-5_36     Document Type: Conference Paper

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