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TNN
1998
254views more  TNN 1998»
13 years 4 months ago
Comparative analysis of fuzzy ART and ART-2A network clustering performance
—Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen
AIRS
2005
Springer
13 years 6 months ago
Fuzzy Post-clustering Algorithm for Web Search Engine
Abstract. We propose a new clustering algorithm satisfying requirements for the post-clustering algorithms as many as possible. The proposed “Fuzzy Concept ART” is the form of ...
Younghee Im, Jiyoung Song, Daihee Park
CVPR
2001
IEEE
14 years 6 months ago
Clustering Art
We extend a recently developed method [1] for learning the semantics of image databases using text and pictures. We incorporate statistical natural language processing in order to...
Kobus Barnard, Pinar Duygulu, David A. Forsyth
NN
2002
Springer
144views Neural Networks» more  NN 2002»
13 years 4 months ago
Projective ART for clustering data sets in high dimensional spaces
A new neural network architecture (PART) and the resulting algorithm are proposed to
Yongqiang Cao, Jianhong Wu