Improving Performance of K-Means Clustering by Initializing Cluster Centers Using Genetic Algorithm and Entropy Based Fuzzy Clustering for Categorization of Diabetic Patients-Reference-Cited by-同舟云学术

Improving Performance of K-Means Clustering by Initializing Cluster Centers Using Genetic Algorithm and Entropy Based Fuzzy Clustering for Categorization of Diabetic Patients

Published:2013 Issue: Volume: Page:899-904
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Karegowda Asha Gowda,Vidya T.,Shama ,Jayaram M. A.,Manjunath A. S.

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-0740-5_108

Reference16 articles.

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5. Hao-Jun, Lang-Haun: Genetic Algorithm-based High-dimensional Data Clustering Technique. In: Sixth International Conference on Fuzzy Systems and Knowledge Discovery, pp. 485–489 (2009)

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