A Clustering Algorithm based on Local Accumulative Knowledge

@article{Zong2013ACA,
  title={A Clustering Algorithm based on Local Accumulative Knowledge},
  author={Yu Zong and Ping Jin and Dongguan Xu and Rong Pan},
  journal={JCP},
  year={2013},
  volume={8},
  pages={365-371}
}
Clustering as an important unsupervised learning technique is widely used to discover the inherent structure of a given data set. For clustering is depended on applications, researchers use different models to defined clustering problems. Heuristic clustering algorithm is an efficient way to deal with clustering problem defined by combining optimization model, but initialization sensitivity is an inevitable problem. In the past decades, a lot of methods have been proposed to deal with such… CONTINUE READING
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