Towards Missing Data Imputation: A Study of Fuzzy K-means Clustering Method

Author:

Li Dan,Deogun Jitender,Spaulding William,Shuart Bill

Publisher

Springer Berlin Heidelberg

Reference7 articles.

1. Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. of Royal Statistical Society Series 39, 1–38 (1977)

2. Gary, K., Honaker, J., Joseph, A., Scheve, K.: Listwise deletion is evil: What to do about missing data in political science (2000), http://GKing.Harvard.edu

3. Little, R.J., Rubin, D.B.: Statistical Analysis with Missing Data. Wiley, New York (1987)

4. Myrtveit, I., Stensrud, E., Olsson, U.H.: Analyzing data sets with missing data: an empirical evaluation of imputation methods and likelihood-based methods. IEEE Transactions on Software Engineering 27, 999–1013 (2001)

5. (Zadeh, L.A.), http://www.cs.berkeley.edu/projects/Bisc/bisc.memo.html

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