English

Fuzzy Adaptive Resonance Theory, Diffusion Maps and their applications to Clustering and Biclustering

Neural and Evolutionary Computing 2015-10-07 v5 Machine Learning
Authors: S. B. Damelin , Y. Gu , D. C. Wunsch , R. Xu
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Abstract

In this paper, we describe an algorithm FARDiff (Fuzzy Adaptive Resonance Dif- fusion) which combines Diffusion Maps and Fuzzy Adaptive Resonance Theory to do clustering on high dimensional data. We describe some applications of this method and some problems for future research.

Keywords

fuzzy adaptive resonance theory diffusion maps clustering biclustering high dimensional data FARDiff algorithm

Cite

@article{arxiv.1411.5737,
  title  = {Fuzzy Adaptive Resonance Theory, Diffusion Maps and their applications to Clustering and Biclustering},
  author = {S. B. Damelin and Y. Gu and D. C. Wunsch and R. Xu},
  journal= {arXiv preprint arXiv:1411.5737},
  year   = {2015}
}

Comments

Accepted in Math.Model.Nat.Phenom

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