A new simplified gravitational clustering method for multi-prototype learning based on minimum classification error training

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

Volumn 4153 LNCS, Issue , 2006, Pages 168-175

  Long, Teng ^a   Jin, Lian Wen ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA STRUCTURES; ERROR ANALYSIS; PERSONNEL TRAINING; SOFTWARE PROTOTYPING;

GRAVITY FORCE; MINIMUM CLASSIFICATION ERROR (MCE); MULTI-FORCE ATTRACTION; RANDOM INITIALIZATION;

LEARNING SYSTEMS;

EID: 33750090356     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11821045_18     Document Type: Conference Paper

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