K-means clustering


The topic I will try to explain today is K-means clustering. First, you might be wondering what the "K" means. K is a parameter that corresponds to the number of clusters you are trying to detect. For example, in order to detect 3 clusters like on the image on top, you would need to use K 3. But what does it mean?

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