On Validation of Hierarchical Clustering
2007An automatic validation of hierarchical clustering based on resampling techniques is recommended that can be considered as a three level assessment of stability. The first and most general level is decision making about the appropriate number of clusters.
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Comprehensive survey on hierarchical clustering algorithms and the recent developments
Artificial Intelligence Review, 2022Yonggang Lu +2 more
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Hierarchical++: improving the hierarchical clustering algorithm
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IEEE Transactions on Big Data, 2021Murilo Naldi +2 more
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Scalable clustering by aggregating representatives in hierarchical groups
Pattern Recognition, 2023Zhen Liu, Jaideep Srivastava, Wen-Bo Xie
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PIFHC: The Probabilistic Intuitionistic Fuzzy Hierarchical Clustering Algorithm
Applied Soft Computing Journal, 2022Pranab Kumar Muhuri, Q M Danish Lohani
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Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?
Journal of Classification, 2014Fionn Murtagh, Pierre Legendre
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Efficient synthetical clustering validity indexes for hierarchical clustering
Expert Systems With Applications, 2020Jinpei Liu, Qin Xu
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Method for Determining the Optimal Number of Clusters Based on Agglomerative Hierarchical Clustering
IEEE Transactions on Neural Networks and Learning Systems, 2017Shibing Zhou
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A Novel Hierarchical-Clustering-Combination Scheme Based on Fuzzy-Similarity Relations
IEEE Transactions on Fuzzy Systems, 2010Mohammad Rahmati, Abdolreza Mirzaei
exaly