Difference between revisions of "Hierarchical Cluster Analysis (HCA)"
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The HCPC (Hierarchical Clustering on Principal Components) approach allows us to combine the three standard methods used in multivariate data analyses (Husson, Josse, and J. 2010): | The HCPC (Hierarchical Clustering on Principal Components) approach allows us to combine the three standard methods used in multivariate data analyses (Husson, Josse, and J. 2010): | ||
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<youtube>EQZaSuK-PHs</youtube> | <youtube>EQZaSuK-PHs</youtube> | ||
Revision as of 16:53, 28 March 2023
YouTube search... ...Google search
- Hierarchical Clustering; Agglomerative (HAC) & Divisive (HDC)
- Hierarchical Temporal Memory (HTM)
- Capabilities
- ...find outliers
- Clustering
- Identify clusters (items) with closest distance
- Join them to new clusters
- Compute distance between clusters (items)
- Return to step 1
The HCPC (Hierarchical Clustering on Principal Components) approach allows us to combine the three standard methods used in multivariate data analyses (Husson, Josse, and J. 2010):
