K-means

Concept and definition

K-means

What is K-means?

It is an unsupervised clustering algorithm whose objective is to group the input data into K distinct classes. The algorithm is based on defining K centroids in the dimensional space of the input data, and iteratively adjusting their positions. As a result, the data space is divided into K Voronoi cells (one per centroid), and each input observation can be associated with the nearest centroid.

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