Growing hierarchical probabilistic self-organizing graphs

IEEE Transactions on Neural Networks

Volumn 22, Issue 7, 2011, Pages 997-1008

  López Rubio, Ezequiel ^a   Palomo, Esteban José ^a  

^a UNIVERSITY OF MÁLAGA   (Spain)

Author keywords

Classification; hierarchical self organization; unsupervised learning; visualization; web mining

Indexed keywords

DATA SETS; DYNAMIC GRAPH; DYNAMIC STRUCTURE; GAUSSIAN COMPONENTS; GROWING HIERARCHICAL SELF-ORGANIZING MAPS; HIGH DIMENSIONAL DATA; LEARNING RULES; PROBABILISTIC CRITERIA; SELF ORGANIZING; SELF-ORGANIZATIONS; SELF-ORGANIZING MODEL; SELF-ORGANIZING NEURAL MODELS; STOCHASTIC APPROXIMATIONS; VISUALIZATION METHOD; WEB MINING;

APPROXIMATION THEORY; CONFORMAL MAPPING; DATA VISUALIZATION; STOCHASTIC MODELS; TOPOLOGY; USER INTERFACES; VISUALIZATION;

SELF ORGANIZING MAPS;

ARTICLE; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; HUMAN; NONLINEAR SYSTEM; PROBABILITY; STATISTICS;

ARTIFICIAL INTELLIGENCE; HUMANS; MODELS, NEUROLOGICAL; NONLINEAR DYNAMICS; PROBABILITY; STOCHASTIC PROCESSES;

EID: 79960117479     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2138159     Document Type: Article

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