Exploring big data with scalable soft clustering

Advances in Intelligent Systems and Computing

Volumn 190 AISC, Issue , 2013, Pages 11-15

  Hall, Lawrence O ^a  

^a University of South Florida   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; MEDICAL COMPUTING; PATIENT TREATMENT; SOFT COMPUTING;

BIG DATUM; COMPUTATION TIME; DATA STORAGE; DISTRIBUTED CLUSTERING; ELECTRONIC MEDICAL RECORD; MODIFIED ALGORITHMS; PETABYTES; POSSIBILISTIC; SCALABLE CLUSTERING; SOFT CLUSTERING; STREAM DATA CLUSTERING; UNSUPERVISED CLUSTERING;

SHAPE MEMORY EFFECT;

EID: 84870756143     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-33042-1_2     Document Type: Conference Paper

References (10)

1. Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York City (1981)
2. Gu, Y., Hall, L.O., Goldgof, D.B.: Evaluating scalable fuzzy clustering. In: Proc. 2010 IEEE Int. Conf. on Systems Man and Cybernetics (SMC), Istanbul, Turkey, October 10-13, pp. 873-880. IEEE Press (2010)
3. Hall, L., Goldgof, D.: Convergence of the single-pass and online fuzzy c-means algorithms. IEEE Trans. Fuzzy Syst. 19(4), 792-794 (2011)
4. Hathaway, R.J., Bezdek, J.C., Tucker, W.T.: An improved convergence theory for the fuzzy c-means clustering algorithms. In: Bezdek, J.C. (ed.) Analysis of Fuzzy Information: Applications in Engineering and Science, vol. 3, pp. 123-131. CRC Press, Boca Raton (1987)
5. Hore, P., Hall, L., Goldgof, D., Cheng, W.: Online fuzzy c means. In: Ann. Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2008), pp. 1-5 (2008)
6. Hore, P., Hall, L.O., Goldgof, D.B., Gu, Y., Maudsley, A.A., Darkazanli, A.: A scalable framework for segmenting magnetic resonance images. J. Sign. Process. Syst. 54, 183-203 (2009)
7. Hung, M.C., Yang, D.L.: An efficient fuzzy c-means clustering algorithm. In: Proc. 2001 IEEE Int. Conf. on Data Mining (ICDM 2001), pp. 225-232. IEEE Press (2001)
8. Jain, A.K.: Data clustering: 50 years beyond k-means. Pattern Recogn. Lett. 31(8), 651-666 (2010)
9. Pal, N.R., Bezdek, J.C.: Complexity reduction for "large image" processing. IEEE Trans. Syst. Man Cybern. 32(5), 598-611 (2002)
10. Parker, J.K., Hall, L.O., Bezdek, J.C.: Comparison of scalable fuzzy clustering methods. In: Proc. IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 2012), Brisbane, Australia, June 10-15, pp. 359-367. IEEE Press (2012)