Unsupervised Feature Selection Using Feature Similarity

@article{Mitra2002UnsupervisedFS,
  title={Unsupervised Feature Selection Using Feature Similarity},
  author={Pabitra Mitra and C. A. Murthy and Sankar K. Pal},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={2002},
  volume={24},
  pages={301-312}
}
ÐIn this article, we describe an unsupervised feature selection algorithm suitable for data sets, large in both dimension and size. The method is based on measuring similarity between features whereby redundancy therein is removed. This does not need any search and, therefore, is fast. A new feature similarity measure, called maximum information compression index, is introduced. The algorithm is generic in nature and has the capability of multiscale representation of data sets. The superiority… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 28 references

Pattern Recognition: A Statistical Approach

  • P A Devijver, J Kittler
  • Pattern Recognition: A Statistical Approach
  • 1982
Highly Influential
3 Excerpts

For more information on this or any other computing topic, please visit our Digital Library at http://computer.org/publications/dilb

  • IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE…
  • 2002

D. Birla Award for Scientific Research, the 2000 Khwarizmi International Award (1st winner) from the Islamic Republic of Iran, and the

  • D. Birla Award for Scientific Research, the 2000…
  • 2001

ªUnsupervised Feature Selection,º Proc. Pacific Asia Conf. Knowledge Discovery and Data Mining

  • M Dash, H Liu
  • ªUnsupervised Feature Selection,º Proc. Pacific…
  • 2000
1 Excerpt

ªSome Issues in Scalable Feature Selection,º Expert Systems with Applications

  • H Liu, R Setiono
  • ªSome Issues in Scalable Feature Selection…
  • 1998
1 Excerpt

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