Unsupervised Learning :Clustering

Unsupervised Learning :Clustering 

In unsupervised learning what we do is we give this sort of unlabeled training set to an algorithm and we just ask the algorithm find some structure in the data for us. Given this data set one type of structure we might have an algorithm find is that it looks like this data set has points grouped into two separate clusters and so an algorithm that finds clusters like the ones I've just circled is called a clustering algorithm.

K means Clustering :
What K means clustering do is it randomly select two centroids and based on the distance from  them to each data point we will group them .




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