File:K-Means Sum of Squares Criterion.png

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K-Means_Sum_of_Squares_Criterion.png ‎(623 × 283 pixels, file size: 19 KB, MIME type: image/png)

K-means Clustering algorithm aims to choose centroids that minimize the within-cluster sum-of-squares criterion based on the this formula.

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