Fuzzy clustering based weighted principal component analysis for interval-valued data considering uniqueness of clusters

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 3, Issue , 2004, Pages 2297-2302

  Mika, Sato Ilic ^a  

^a UNIVERSITY OF TSUKUBA   (Japan)

Author keywords

Fuzzy clustering; Principal component; Super matrix; Symbolic data; Temporal data

Indexed keywords

FUZZY CLUSTERING; SUPER MATRIX; SYMBOLIC DATA; TEMPORAL DATA;

DATA REDUCTION; FUZZY SETS; MATRIX ALGEBRA; OILS AND FATS; PROBLEM SOLVING; SAPONIFICATION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 15744399435     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2004.1400671     Document Type: Conference Paper

References (5)

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2. H. H. Bock and E. Diday eds., Analysis of Symbolic Data, Springer, 2000.
3. M. Ichino and H. Yaguchi, "Generalized Minkowski Metrics for Mixed Feature-Type Data Analysis", IEEE Transactions on Systems, Man, and Cybernetics, Vol. 24, No. 4, pp. 698-708, 1994.
4. L. Kaufman and P. J. Rousseeuw, Finding Groups in Data, John Wiley & Sons, 1990.
5. M. Sato-Ilic, "Weighted Principal Component Analysis for Interval-Valued Data based on Fuzzy Clustering", IEEE International Conference on Systems, Man and Cybernetics, pp. 4476-4482, 2003.