Difference between revisions of "Hierarchical Cluster Analysis (HCA)"
| Line 13: | Line 13: | ||
* [[...find outliers]] | * [[...find outliers]] | ||
| + | # Identify clusters (items) with closest distance | ||
| + | # Join them to new clusters | ||
| + | # Compute distance between clusters (items) | ||
| + | # Return to step 1 | ||
| + | |||
| + | http://www.sthda.com/english/sthda-upload/figures/principal-component-methods/011-hcpc-hierarchical-clustering-on-principal-components-3d-map-1.png | ||
<youtube>bMH-aHNlhBA</youtube> | <youtube>bMH-aHNlhBA</youtube> | ||
Revision as of 19:11, 22 April 2019
YouTube search... ...Google search
- Hierarchical Clustering; Agglomerative (HAC) & Divisive (HDC)
- Hierarchical Temporal Memory (HTM)
- Capabilities
- ...find outliers
- Identify clusters (items) with closest distance
- Join them to new clusters
- Compute distance between clusters (items)
- Return to step 1
