Clustering Algorithms

https://web.stanford.edu/class/cs345a/slides/12-clustering.pdf

There are two categories of clustering algorithms from here: https://www.youtube.com/watch?v=iAhwCOxWp0k&ab_channel=DanielBird Partitional Algorithms usually start with a random (partial) partitioning, and we refine it iteratively

• K-Means Clustering
• Mixture-Model Based Clustering

Hierarchical Algorithms, see Hierarchical Clustering

• Bottom up, agglomerative
• Top-down, divisive

I am not sure where to put this, but one of the big questions is Similarity Measure → Correlation Coefficient

We can also learn the distance metric??