An Efficient Numerical Method for the Prediction of Clusters Using K-Means Clustering Algorithm with Bisection Method

Author:

Napoleon D.,Praneesh M.,Sathya S.,SivaSubramani M.

Publisher

Springer Berlin Heidelberg

Reference17 articles.

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2. Velmurugan, R., Santhanam, T.: Computational plexity between k-means and k-medoid clustering algorithm for normal and uniform distribution of data points. Journal of Computer Science 6(3), 363–368 (2010); ISSN 1549-3636

3. Borah, S., Ghose, M.K.: Performance analysis of AIM-K-Means and K-means inquality cluster generation. J. Comput. 1, 175–178 (2009)

4. Park, H.S., Lee, J.S., Jun, C.H.: A K-means like algorithm for K-medoids clustering and its performance (2006)

5. Rakhlin, A., Caponnetto, A.: Stability of k-Means clustering. Adv. Neural Inform. Process. Syst. 12, 216–222 (2007)

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