Feature weighting and feature selection in fuzzy clustering

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2008, Pages 838-844

  Borgelt, Christian ^a  

^a European Center for Soft Computing   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; FLOW OF SOLIDS; FUZZY LOGIC; FUZZY SETS; FUZZY SYSTEMS;

DATA SPACES; FEATURE SELECTIONS; FEATURE WEIGHTING; FEATURE WEIGHTS; PRINCIPAL AXES; SELECTION METHODS; SUB SPACES;

FUZZY CLUSTERING;

EID: 55249094587     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2008.4630468     Document Type: Conference Paper

References (19)

1. J.C. Bezdek and N. Pal. Fuzzy Models for Pattern Recognition. IEEE Press, New York, NY, USA 1992
2. J.C. Bezdek, J. Keller, R. Krishnapuram, and N. Pal. Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. Kluwer, Dordrecht, Netherlands 1999
3. C.L. Blake and C.J. Merz. UCI Repository of Machine Learning Databases. University of California, Irvine, CA, USA 1998 http://www.ics.uci.edu/mlearn/MLRepository.html
4. C. Borgelt. Prototype-based Classification and Clustering. Habilitation thesis, University of Magdeburg, Germany 2005
5. R. Butterworth, G. Piatetsky-Shapiro, and D.A. Simovici. On Feature Selection Through Clustering. Proc. 5th IEEE Int. Conf. on Data Mining (ICDM 2005, Houston, TX), 581-584. IEEE Press, Piscataway, NJ, USA 2005
6. M. Dash and H. Liu. Feature Selection for Clustering. Proc. 4th Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD 2000, Kyoto, Japan), 110-121. Springer-Verlag, London, United Kingdom 2000
7. M. Dash, K. Choi, P. Scheuermann, and H. Liu. Feature Selection for Clustering: A Filter Solution. Proc. 2nd IEEE Int. Conf. on Data Mining (ICDM 2002, Maebashi, Japan), 51-58.
8. J.G. Dy and C.E. Brodley. Visualization and Interactive Feature Selection for Unsupervised Data. Proc. 6th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD 2000, Boston, MA), 360-364. ACM Press, Ney York, NY, USA 2000
9. G.H. Golub and C.F. Van Loan. Matrix Computations, 3rd edition. The Johns Hopkins University Press, Baltimore, MD, USA 1996
10. E.E. Gustafson and W.C. Kessel. Fuzzy Clustering with a Fuzzy Covariance Matrix. Proc. of the IEEE Conf. on Decision and Control (CDC 1979, San Diego, CA), 761-766. IEEE Press, Piscataway, NJ, USA 1979. Reprinted in [1], 117-122
11. F. Höppner, F. Klawonn, R. Kruse, and T. Runkler. Fuzzy Cluster Analysis. J. Wiley & Sons, Chichester, England 1999
12. P.-E. Jouve and N. Nicoloyannis. A Filter Feature Selection Method for Clustering. Proc. 15th Int. Symp. on Foundations of Intelligent Systems (ISMIS 2005, Saratoga Springs, NY), 583-593. Springer-Verlag, Heidelberg, Germany 2005
13. A. Keller and F. Klawonn. Fuzzy Clustering with Weighting of Data Variables. Int. J. of Uncertainty, Fuzziness and Knowledge-based Systems 8:735-746. World Scientific, Hackensack, NJ, USA 2000
14. F. Klawonn and F. Höppner. What is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzifier. Proc. 5th Int. Symposium on Intelligent Data Analysis (IDA 2003, Berlin, Germany), 254-264. Springer-Verlag, Berlin, Germany 2003
15. F. Klawonn and R. Kruse. Constructing a Fuzzy Controller from Data. Fuzzy Sets and Systems 85:177-193. North-Holland, Amsterdam, Netherlands 1997
16. M.H.C. Law, M.A.T. Figueiredo, and A.K. Jain. Simultaneous Feature Selection and Clustering Using Mixture Models. IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI) 26(9):1154-1166. IEEE Press, Piscataway, NJ, USA 2004
17. L. Parsons, E. Haque, and H. Liu. Subspace Clustering for High-Dimensional Data: A Review. ACM SIGKDD Explorations Newsletter 6(1):90-105. ACM Press, New York, NY, USA 2004
18. V. Roth and T. Lange. Feature Selection in Clustering Problems. Advances in Neural Information Processing 16: Proc. 17th Ann. Conf. (NIPS 2003, Vancouver, Canada). MIT Press, Cambridge, MA, USA 2004
19. X. Wang, Y. Wang, and L. Wang. Improving Fuzzy c-Means Clustering based on Feature-Weight Learning. Pattern Recognition Letters 25(10):1123-1132. Elsevier, New York, NY, USA 2004