Reducing data dimensionality using random projections and fuzzy k-means clustering

@article{Kumar2011ReducingDD,
  title={Reducing data dimensionality using random projections and fuzzy k-means clustering},
  author={Cherukuri Aswani Kumar},
  journal={Int. J. Intelligent Computing and Cybernetics},
  year={2011},
  volume={4},
  pages={353-365}
}
Purpose – The purpose of this paper is to introduce a new hybrid method for reducing dimensionality of high dimensional data. Design/methodology/approach – Literature on dimensionality reduction (DR) witnesses the research efforts that combine random projections (RP) and singular value decomposition (SVD) so as to derive the benefit of both of these methods. However, SVD is well known for its computational complexity. Clustering under the notion of concept decomposition is proved to be less… CONTINUE READING

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