An extension to Rough c-means clustering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6954 LNAI, Issue , 2011, Pages 208-216

  Li, Fan ^a   Liu, Qihe ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Boundary area; Lower approximation; Rough c means algorithm; Rough sets; Upper approximation

Indexed keywords

BOUNDARY AREA; C-MEANS ALGORITHMS; LOWER APPROXIMATION; ROUGH SET; UPPER APPROXIMATION;

APPROXIMATION ALGORITHMS; ROUGH SET THEORY;

CLUSTERING ALGORITHMS;

EID: 80054062826     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24425-4_29     Document Type: Conference Paper

References (13)

1. Mirkin, B.: Mathematical Classification and Clustering. Kluwer Academic Publishers, Boston (1996)
2. Pawlak, Z.: Rough Sets-Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)
3. Pawlak, Z.: Some Issues on Rough Sets. Transactions on Rough Sets I, 1-58 (2004)
4. Tou, J.T., Gonzalez, R.C.: Pattern Recognition Principles. Addison-Wesley, London (1974)
5. Lingras, P., West, C.: Interval Set Clustering of Web Users with Rough k-Means. J. Intell. Inform. Syst. 23(1), 5-16 (2004)
6. Mitra, S.: An Evolutionary Rough Partitive Clustering. Pattern Recognition Letter 25(12), 1439-1449 (2004)
7. Mitra, S., Banka, H., Pedrycz, W.: Rough-Fuzzy Collaborative Clustering. IEEE Trans. Systems Man Cybernet., Part-B 36(4), 795-805 (2006)
8. Peters, G.: Some Refinements of Rough k-Means Clustering. Pattern Recognition 39(10), 1481-1491 (2006)
9. Mitra, S., Pedrycz, W., Barman, B.: Shadowed c-Means: Integrating Fuzzy and Rough Clustering. Pattern Recognition 43(4), 1282-1291 (2010)
10. Wang, G.-Y.: Rough Set Theory and Knowledge Acquisition. Xi'an Jiaotong University Press, Xi'an (2001)
11. Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum, New York (1981)
12. Bezdek, J.C., Pal, N.R.: Some New Indexes for Cluster Validity. IEEE Trans. Systems Man Cybernet., Part-B 28(3), 301-315 (1998)
13. Hettich, S., Blake, C.L.,Merz, C.J.: UCI Repository of Machine Learning Databases, http://archive.ics.uci.edu/ml/datasets.html