Journal of Animal and Veterinary Advances

Year: 2010
Volume: 9
Issue: 14
Page No. 1947 - 1951

Classification of Dairy Cattle in Terms of Some Milk Yield Characteristics Using By Fuzzy Clustering

Authors : OzkanGorgulu

References

Alam, P., D. Booth, K. Lee and T. Thordarson, 2000. The use of fuzzy clustering and self organizing neural networks for identifying potentially failing banks: An experimental study. Expert Syst. Appl., 18: 185-199.
CrossRef  |  

Chang, Y.C. and B. Chang, 2003. Applying fuzzy cluster method for marine environmental monitoring data analysis. Environ. Inform. Arch., 1: 114-124.

Diaz, B., L. Monıche and A. Morillas, 2006. A fuzzy clustering approach to key sectors of the Spanish economy. Econ. Syst. Res., 18: 299-318.
CrossRef  |  Direct Link  |  

Halavati, R. and S.B. Shouraki, 2005. Fuzzy learning in zamin artificial world. Fuzzy Sets Syst., 152: 603-615.
CrossRef  |  

Kaufman, L. and P.J. Rousseeuw, 1990. Finding Groups in Data: An Introduction to Cluster Analysis. John Wiley and Sons, New York, ISBN: 0471878766, Pages: 342.

Lenard, M.J., P. Alam and D. Booth, 2000. An analysis of fuzzy clustering and a hybrid model for the auditor`s going concern assessment. Decision Sci., 31: 861-884.

Mocz, G., 1995. Fuzzy cluster analysis of simple physicochemical properties of aminoacids for recognizing secondary structure in proteins. Protein Sci., 4: 1178-1187.
Direct Link  |  

Rousseeuw, P.J., 1995. Discussion: Fuzzy clustering at the intersection. Technometrics, 37: 283-285.
Direct Link  |  

Sato, M. and L.C. Jain, 2006. Innovations in Fuzzy Clustering. Springer-Verlag, Netherlands.

Tufan, E. and B. Hamarat, 2003. Clustering of financial ratios of the quoted companies through fuzzy logic method. J. Naval Sci. Eng., 1: 123-140.
Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved