Genetic algorithms based enhanced K Strange points clustering algorithm

Genetic algorithms are randomized search and optimization techniques guided by the principles of evolution and natural genetics. The algorithm proposed in this paper uses the enhanced K Strange points clustering algorithm instead of its classical K Means counterpart. The algorithm presented in this paper successfully addresses the issues related to longer execution time and formation of inaccurate clusters due to abrupt terminations in the GA based K Means clustering algorithm.