"An Evaluation of Sampling Methods to Data Mining With Fuzzy C-Means"
in:
Data Mining for Design and Manufacturing,
(Dr. Dan Braha, Editor) Kluwer Academic Publishers,
Chapter 15, pp. 351-365, Spring of 2001.
by Josien, K., G. Wang, T.W. Liao, E. Triantaphyllou, and M.C. Liu
Abstract:
Using fuzzy c-means as the data-mining tool, this study evaluates the effectiveness
of sampling methods in producing the knowledge of interest. The effectiveness is shown
in terms of the representative-ness of sampling data and the accuracy as well as errors
of sampled data when subjected to the fuzzy clustering algorithm. Two data sets in the
weld inspection domain were used for the evaluation. Based on the results obtained, a number
of observations are made.
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