Growing a hypercubical output space in a self-organizing feature map

IEEE Transactions on Neural Networks

Volumn 8, Issue 2, 1997, Pages 218-226

  Bauer, Hans Ulrich ^a,b   Villmann, Thomas ^c  

^a INTERNATIONAL COMPUTER SCIENCE INSTITUTE   (United States)

^b MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

^c Inst fuer Techno und   (Germany)

Author keywords

Architecture adaptation; Kohonen algorithm; Neighborhood preservation; Neural networks; Self organizing maps; Topography; Unsupervised learning; Vector quantization

Indexed keywords

ALGORITHMS; DATA PROCESSING; LEARNING SYSTEMS; TOPOLOGY; VECTOR QUANTIZATION;

ARCHITECTURE ADAPTATION; GROWING SELF ORGANIZING MAP; KOHONEN ALGORITHM; NEIGHBORHOOD PRESERVATION; SELF ORGANIZING FEATURE MAP; TOPOGRAPHY; UNSUPERVISED LEARNING;

NEURAL NETWORKS;

EID: 0031101545     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.557659     Document Type: Review

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