Using smoothed data histograms for cluster visualization in Self-Organizing Maps

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

Volumn 2415 LNCS, Issue , 2002, Pages 871-876

  Pampalk, Elias ^a   Rauber, Andreas ^b   Merkl, Dieter ^b  

^a AUSTRIAN RESEARCH INSTITUTE FOR ARTIFICIAL INTELLIGENCE   (Austria)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; CONFORMAL MAPPING; DATA VISUALIZATION; PROBABILITY DISTRIBUTIONS; VISUALIZATION; GRAPHIC METHODS; NEURAL NETWORKS; VIRTUAL REALITY;

CLUSTER VISUALIZATION; DATA SET; GENERATIVE TOPOGRAPHIC MAPPING; HIGH DIMENSIONAL DATA; MODEL VECTORS; REAL-WORLD; HEIDELBERG;

SELF ORGANIZING MAPS;

EID: 84902133799     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-46084-5_141     Document Type: Conference Paper

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