@article{351,
  author = {Madhu Yedla, Sandeep Malle, Srinivasa T M},
  title = {An Improved K-means Clustering Algorithm with Refined Initial Centroids},
  journal = {Journal of Networking Technology},
  year = {2010},
  volume = {1},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jnt/fulltext/v1n3/2.pdf},
  abstract = {A fi nal Clustering result of the k-means clustering algorithm greatly depends upon the correctness of the initial centroids. Generally the initial centroids for the k-means clustering are chosen randomly so that the selected initial centroids may converges to numerous local minima, not the global optimum. In this paper a new initialization approach to fi nd initial centroids for k-means clustering is proposed. According to our experimental results, the Improved k-means Clustering Algorithm has the more accuracy with less computational time comparatively Original k-means clustering algorithm.},
}