A clustering method based on rough sets and its application to biochemical data analysis

Proceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technolgoy, CBGIST 2001

Volumn , Issue , 2001, Pages 16-20

  Hirano, Shoji ^a   Okuzaki, Tomohiro ^a   Hata, Yutaka ^a   Tsumoto, Shusaku ^b   Tsumoto, Kouhei ^c  

^a UNIVERSITY OF HYOGO   (Japan)

^b SHIMANE UNIVERSITY   (Japan)

^c TOHOKU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACIDS; ANTIBODIES; APPROXIMATION THEORY; DATA REDUCTION; EQUIVALENCE CLASSES; ROUGH SET THEORY;

BIOCHEMICAL DATA ANALAYSIS; CLUSTERING METHOD; HAMMING DISTANCE; MAHALANOBIS DISTANCE;

BIOCHEMISTRY;

EID: 1842610573     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. S. Z. Selim and M. A. Ismail, "K-means-type Algorithm," IEEE Trans. Pattern Anal. Mach. Intell, vol. 6, no. 1, pp 81-87, 1984.
2. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithm, Plenum Press, New York, 1981.
3. M. R. Anderberg, Cluster Analysis for Applications, Academic Press, New York, 1973.
4. Z. Pawlak, Rough Sets, Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Dordrecht, 1991.
5. URL: http://www.shimane-med.ac.jp/medinfo/kdd/kbsamino.csv