Visualizing K-Means Clustering - Naftali Harris
https://www.naftaliharris.com/blog/visualizing-k-means-clustering/
WebJan 19, 2014 · K-Means Algorithm. The k-means algorithm captures the insight that each point in a cluster should be near to the center of that cluster. It works like this: first we choose k, the number of clusters we want to find in the data. Then, the centers of those k clusters, called centroids, are initialized in some fashion, (discussed later).
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