2021-01-30

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.

2021-01-23

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

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