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      Initializing k-means clustering algorithm using statistical information

      Eltibi, Mohammad F; Ashour, Wesam M. (International Journal of Computer Applications, 244 5 th Avenue,# 1526, New York, NY 10001, USA India, 2011)
      K-means clustering algorithm is one of the best known algorithms used in clustering; nevertheless it has many disadvantages as it may converge to a local optimum, depending on its random initialization of prototypes. We ...