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@article{Xie2011AnEG, title={An Efficient Global K-means Clustering Algorithm}, author={Juanying Xie and Shuai Jiang and Weixin Xie and Xinbo Gao}, journal={JCP}, year={2011}, volume={6}, pages={271-279} }

- Published 2011 in JCP
DOI:10.4304/jcp.6.2.271-279

K-means clustering is a popular clustering algorithm based on the partition of data. However, K-means clustering algorithm suffers from some shortcomings, such as its requiring a user to give out the number of clusters at first, and its sensitiveness to initial conditions, and its being easily trapped into a local solution et cetera. The global Kmeans algorithm proposed by Likas et al is an incremental approach to clustering that dynamically adds one cluster center at a time through a… CONTINUE READING

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