International Journal of Scientific and Research Publications

IJSRP, Volume 5, Issue 1, January 2015 Edition [ISSN 2250-3153]

A Classification of CKD Cases Using MultiVariate K-Means Clustering.
      Abhinandan Dubey
Abstract: The automated detection of diseases using Machine Learning Techniques has become a key research area lately. Although the computational complexity involved in analyzing a huge data set can be extremely high, nonetheless the merits of getting a desired result surely counts for the complexity involved in the task. In this paper we adopt the K-Means Clustering Algorithm with a single mean vector of centroids, to classify and make clusters of varying probability of likeliness of suspect being prone to CKD. The results are obtained from a Real Case Data-Set from UCI Machine Learning Repository.

Reference this Research Paper (copy & paste below code):

Abhinandan Dubey (2018); A Classification of CKD Cases Using MultiVariate K-Means Clustering.; Int J Sci Res Publ 5(8) (ISSN: 2250-3153).
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