Skip to main content

Fuzzy Rough Granular Neural Network and Unsupervised Feature Selection

  • Chapter
  • First Online:
Granular Neural Networks, Pattern Recognition and Bioinformatics

Part of the book series: Studies in Computational Intelligence ((SCI,volume 712))

  • 917 Accesses

Abstract

The problem of feature selection and its significance have been described in Sect. 1.5.2, Chap. 1.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Davies, D.L., Bouldin, D.: A cluster separation measure. IEEE Trans. Pattern Anal. Mach. Intell. 1(2), 224–227 (1979)

    Article  Google Scholar 

  2. Devijver, P.A., Kittler, J.: Pattern Recognition: A Statistical Approach. Prentice Hall, Upper Saddle River (1982)

    MATH  Google Scholar 

  3. Ganivada, A., Ray, S.S., Pal, S.K.: Fuzzy rough granular self-organizing map and fuzzy rough entropy. Theoret. Comput. Sci. 466, 37–63 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  4. Ganivada, A., Ray, S.S., Pal, S.K.: Fuzzy rough sets, and a granular neural network for unsupervised feature selection. Neural Netw. 48, 91–108 (2013)

    Article  MATH  Google Scholar 

  5. Kira, K., Rendell, L.A.: A practical approach to feature selection. In: Proceedings of 9th International Conference on Machine Learning, vol. 2, no. 6, pp. 249–256 (1992)

    Google Scholar 

  6. Mitra, P., Murthy, C.A., Pal, S.K.: Unsupervised feature selection using feature similarity. IEEE Trans. Pattern Anal. Mach. Intell. 24(4), 301–312 (2002)

    Article  Google Scholar 

  7. Newman, D.J., Hettich, S., Blake, C.L., Merz, C.J.: UCI repository of machine learning databases. Department of Information and Computer Science, University of California, Irvine, CA. http://archive.ics.uci.edu/ml/ (1998)

  8. Pal, S.K., Dasgupta, B., Mitra, P.: Rough self-organizing map. Appl. Intell. 21(1), 289–299 (2004)

    Article  MATH  Google Scholar 

  9. Pal, S.K., De, R.K., Basak, J.: Neuro-fuzzy feature evaluation with theoretical analysis. Neural Netw. 12, 1429–1455 (1999)

    Article  Google Scholar 

  10. Pal, S.K., De, R.K., Basak, J.: Unsupervised feature evaluation: a neuro-fuzzy approach. IEEE Trans. Neural Netw. 11(2), 366–376 (2000)

    Article  Google Scholar 

  11. Pal, S.K., Ghosh, A., Shankar, B.U.: Segmentation of remotely sensed images with fuzzy thresholding, and quantitative evaluation. Int. J. Remote Sens. 21(11), 2269–2300 (2000)

    Article  Google Scholar 

  12. Parthalain, N.M., Jensen, R.: Unsupervised fuzzy-rough set-based dimensionality reduction. Inf. Sci. 229(3), 106–121 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  13. Verikas, A., Bacauskiene, M.: Feature selection with neural networks. Pattern Recogn. Lett. 23(11), 1323–1335 (2002)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sankar K. Pal .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Pal, S.K., Ray, S.S., Ganivada, A. (2017). Fuzzy Rough Granular Neural Network and Unsupervised Feature Selection. In: Granular Neural Networks, Pattern Recognition and Bioinformatics. Studies in Computational Intelligence, vol 712. Springer, Cham. https://doi.org/10.1007/978-3-319-57115-7_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-57115-7_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57113-3

  • Online ISBN: 978-3-319-57115-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics