Abstract
The problem of feature selection and its significance have been described in Sect. 1.5.2, Chap. 1.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Davies, D.L., Bouldin, D.: A cluster separation measure. IEEE Trans. Pattern Anal. Mach. Intell. 1(2), 224–227 (1979)
Devijver, P.A., Kittler, J.: Pattern Recognition: A Statistical Approach. Prentice Hall, Upper Saddle River (1982)
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)
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)
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)
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)
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)
Pal, S.K., Dasgupta, B., Mitra, P.: Rough self-organizing map. Appl. Intell. 21(1), 289–299 (2004)
Pal, S.K., De, R.K., Basak, J.: Neuro-fuzzy feature evaluation with theoretical analysis. Neural Netw. 12, 1429–1455 (1999)
Pal, S.K., De, R.K., Basak, J.: Unsupervised feature evaluation: a neuro-fuzzy approach. IEEE Trans. Neural Netw. 11(2), 366–376 (2000)
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)
Parthalain, N.M., Jensen, R.: Unsupervised fuzzy-rough set-based dimensionality reduction. Inf. Sci. 229(3), 106–121 (2013)
Verikas, A., Bacauskiene, M.: Feature selection with neural networks. Pattern Recogn. Lett. 23(11), 1323–1335 (2002)
Author information
Authors and Affiliations
Corresponding author
Rights 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)