Hierarchical Clustering
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TThanaporn-sk
Last edited Apr 20, 2017
Created on Mar 11, 2017
This visualization demonstrates hierarchical clustering by generating 40 random RGB color points and displaying them as colored rectangles alongside three dendrogram layouts. Each layout applies a different sorting strategy to the cluster tree: original order, canonical sorting, and sorting by perceptual lightness using the HCL color space. The code relies on the `clusterfck` library for agglomerative clustering with Euclidean distance and single linkage, while D3.js handles the SVG rendering, including the cluster layout, links, and node shapes.
AI-generated descriptionforked from <a href='http://bl.ocks.org/nitaku/'>nitaku</a>'s block: <a href='http://bl.ocks.org/nitaku/23d7afb3b421a127b8d5'>Hierarchical Clustering</a>
mit Licensed