Hierarchical clustering
This function defines the hierarchical clustering of any matrix and displays the corresponding dendrogram.
The hierarchical clustering is performed in accordance with the following options:
- Method: WPGMA or UPGMA
- Metric: any anonymous function defined by user to measure vectors dissimilarity
- Clustering parameter: number of clusters or dissimilarity limit
The function returns the linkage tree, the clusters, the list of ranked items and optionally the dendrogram calculated on the basis of dissimilarity matrices.
Video demonstrations:
https://www.youtube.com/watch?v=cPzd-574D1I&list=PLJXyTqQS4FL3QoWdlGj0WtT7nSYKWqBxv&index=3&ab_channel=Pseudonymeoriginal
https://www.youtube.com/watch?v=EgZ2XF9rNXM&index=2&list=PLJXyTqQS4FL3QoWdlGj0WtT7nSYKWqBxv&ab_channel=Pseudonymeoriginal
https://www.youtube.com/watch?v=KvCKnkzNmXI&index=1&list=PLJXyTqQS4FL3QoWdlGj0WtT7nSYKWqBxv&ab_channel=Pseudonymeoriginal
引用
Eric Ogier (2025). Hierarchical clustering (https://www.mathworks.com/matlabcentral/fileexchange/56844-hierarchical-clustering), MATLAB Central File Exchange. に取得済み.
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ヒントを与えたファイル: Operational modal analysis with automated SSI-COV algorithm
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バージョン | 公開済み | リリース ノート | |
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1.0.0.0 | Description correction. |