Hierarchical clustering

Hierarchical clustering and dendrogram (WPGMA and UPGMA methods)
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Actualizado 2 May 2016

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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

Citar como

Eric Ogier (2024). Hierarchical clustering (https://www.mathworks.com/matlabcentral/fileexchange/56844-hierarchical-clustering), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2014b
Compatible con cualquier versión
Compatibilidad con las plataformas
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Más información sobre Statistics and Machine Learning Toolbox en Help Center y MATLAB Answers.

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Versión Publicado Notas de la versión
1.0.0.0

Description correction.