A Comparative study of different approaches for clustering of incomplete medical data
Author:
Affiliation:
1. Maharaja Surajmal Institute of Technology,Electrical and Electronics Engineering Department,New Delhi,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10048789/10048790/10048818.pdf?arnumber=10048818
Reference24 articles.
1. Enhanced fuzzy K-NN approach for handling missing values in medical data mining;kumar;Indian Journal of Science and Technology,2016
2. Linear Regression Models with Incomplete Categorical Covariates
3. Missing value imputation using fuzzy possibilistic c means optimized with support vector regression and genetic algorithm;saravanan;Journal of Theoretical & Applied Information Technology,2015
4. Clustering performance comparison usingK-means and expectation maximization algorithms
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