A new fuzzy rule-based initialization method for K-Nearest neighbor classifier

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2009, Pages 415-420

  Chua, TeckWee ^a   Tan, WoeiWan ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BREAST CANCER; CLASSIFICATION RATES; CURSE OF DIMENSIONALITY; DATA DISTRIBUTION; DATA SETS; DECISION BOUNDARY; EUCLIDEAN DISTANCE; FINITE SAMPLES; FUZZY K-NN ALGORITHM; FUZZY LOGIC SYSTEM; FUZZY RULE-BASED SYSTEMS; INITIALIZATION METHODS; K-NEAREST NEIGHBOR CLASSIFIER; K-NEAREST NEIGHBORS; K-NN ALGORITHM; LIVER DISORDER; SYNTHETIC DATASETS; TRAINING DATA; TRAINING SAMPLE; TWO DIMENSIONAL SPACES; WEIGHTED EUCLIDEAN DISTANCE; WISCONSIN;

FUZZY CONTROL; FUZZY LOGIC; FUZZY RULES; FUZZY SYSTEMS; MEMBERSHIP FUNCTIONS; SAMPLING;

ALGORITHMS;

EID: 71249137664     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2009.5277215     Document Type: Conference Paper

References (14)

1. R. Paredes and E. Vidal, "Learning weighted metrics to minimize nearest-neighbor classification error," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 7, pp. 1100-1110, 2006.
2. R. D. Short and K. Fukunaga, "The optimal distance measure for nearest neighbor classification," IEEE Trans. Inf. Theory, vol. 27, no. 5, pp. 622-627, 1981.
3. C. Domeniconi, J. Peng, and D. Gunopulos, "Locally adaptive metric nearest-neighbor classification," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 9, pp. 1281-1285, 2002.
4. T. Cover and P. Hart, "Nearest neighbor pattern classification, " IEEE Trans. Inf. Theory, vol. 13, no. 1, pp. 21-27, 1967.
5. T. Cover, "Estimation by the nearest neighbor rule," IEEE Trans. Inf. Theory, vol. 14, no. 1, pp. 50-55, 1968.
6. J. M. Keller, M. R. Gray, and J. A. Givens, "A fuzzy k-nn neighbor algorithm," IEEE Trans. Syst., Man, Cybern., vol. 15, no. 4, pp. 580-585, 1985.
7. L. I. Kuncheva, Fuzzy Classifier Design. Heidelberg, Germany: Physica-Verlag, 2000.
8. W. Shang, H. Huang, H. Zhu, Y. Lin, Z. Wang, and Y. Qu, "An improved knn algorithm - fuzzy knn," in CIS (1), ser. LNCS, vol. 3801. Springer, 2005, pp. 741-746.
9. W. Pedrycz, "Fuzzy sets in pattern recognition: accomplishments and challenges," Fuzzy Sets Syst., vol. 90, no. 2, pp. 171-176, 1997.
10. J. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Upper Saddle River, NJ: Prentice Hall, 2001.
11. A. Asuncion and D. Newman, "UCI machine learning repository," 2007. [Online]. Available: http://www.ics.uci.edu/~mlearn/MLRepository.html
12. M. Abou-Nasr and L. Feldkamp, "Ford classification challenge," 2007. [Online]. Available: http://home.comcast.net/~nn-classification/
13. C. Eagen, L. Feldkamp, S. Ebenstein, K. Prakah-Asante, Y. Rodin, and G. Smith, "System and method for detecting presence of a human in a vehicle," U.S. Patent 7,353,088B2, 2008.
14. T. W. Chua and W. W. Tan, "Genetically evolved fuzzy rule-based classifiers and application to automotive classification," in SEAL, ser. LNCS, vol. 5361. Springer, 2008, pp. 101-110.