Hierarchical clustering: Visualization, feature importance and model selection

Luben M. C. Cabezas; Rafael Izbicki; Rafael B. Stern

doi:10.1016/j.asoc.2023.110303

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Hierarchical clustering: Visualization, feature importance and model selection

Luben M. C. Cabezas Rafael Izbicki Rafael B. Stern

Year: 2023 Journal: Applied Soft Computing Vol: 141 Pages: 110303-110303 Publisher: Elsevier BV

DOI: 10.1016/j.asoc.2023.110303

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Keywords:

Dendrogram Computer science Cluster analysis Hierarchical clustering Feature (linguistics) Artificial intelligence Data mining Visualization Hierarchical clustering of networks Partition (number theory) Tree (set theory) Feature selection Pattern recognition (psychology) Machine learning Mathematics Fuzzy clustering CURE data clustering algorithm

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Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Gene expression and cancer classification

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Bioinformatics and Genomic Networks

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

Hierarchical clustering: Visualization, feature importance and model selection

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