An agglomerative hierarchical clustering algorithm for linear ordinal rankings

Author:

Liu Nana,Xu Zeshui,Zeng Xiao-Jun,Ren Peijia

Funder

China Scholarship Council

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. Modern hierarchical, agglomerative clustering algorithms;Müllner;Comput. Sci.,2011

2. Survey of clustering algorithms;Xu;IEEE Trans. Neural Networks,2005

3. S. Singla, B.S. Khehra, A comparative study of K-Means, Fuzzy C-Means and possibilistic Fuzzy C-Means algorithm on noisy grayscale images, in: Int. Conf. Adv. Emerg. Technol., 2016, pp. 1–5

4. Research on Clustering Method based on Granularity Calculation;Hong,2004

5. Method for determining the optimal number of clusters based on agglomerative hierarchical clustering;Zhou;IEEE Trans. Neural Networks Learn. Syst.,2017

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