Ward method of hierarchical clustering for non-Euclidean similarity measures - researchr publication authors

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Sadaaki Miyamoto, Ryosuke Abe, Yasunori Endo, Jun-ichi Takeshita. Ward method of hierarchical clustering for non-Euclidean similarity measures. In Mario Köppen, Bing Xue, Hideyuki Takagi, Ajith Abraham, Azah Kamilah Muda, Kun Ma, editors, 7th International Conference of Soft Computing and Pattern Recognition, SoCPaR 2015, Fukuoka, Japan, November 13-15, 2015. pages 60-63, IEEE, 2015. [doi]

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