k-means Clustering

calendar May 18, 2021 · 1 min read · animation k-means  ·
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k-means clustering is a method of vector quantization, originally from signal processing, that aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or cluster centroid), serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.

K=2
K=3
K=4
K=5

GitHub repository: https://github.com/Trimad/k-means-clustering