A new algorithm for initial cluster centers in k-means algorithm

Author:

Erisoglu Murat,Calis Nazif,Sakallioglu Sadullah

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference11 articles.

1. Arthur, D., Vassilvitskii, S., 2006. k-Means++: The Advantages of Careful Seeding. Technical Report, Stanford.

2. Bradley, P.S., Fayyad, U.M., 1998. Refinning initial points for k-means algorithm. In: Proceeding of the 15th Internat. Conf. on Machine Learning (ICML’98).

3. Enhancing k-means algorithm with initial cluster centers derived from data partitioning along the data axis with the highest variance;Deelers;Internat. J. Comput. Sci.,2007

4. Pattern Classification and Scene Analysis;Duda,1973

5. The use of multiple measurements in taxonomic problems;Fisher;Ann. Eugenic.,1936

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