unsupervised machine learning

The EM Algorithm from Scratch


Expectation-maximization (EM) algorithm is a powerful unsupervised
machine learning tool. Conceptually, It is quite similar to k-means
algorithm, which I shared in this post.
However, instead of clustering through estimated means, it cluster
through estimating the distributions parameters and then evaluate how
likely is each observation belong to distributions. Another difference
is that EM uses soft assignment while k-means uses hard assignment.

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The EM Algorithm from Scratch

K-means Clustering Algorithm from Scratch

The k-means algorithm is a well-known unsupervised machine learning algorithm. From The elements of Statistical Learnin...
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