Bibliography (13):

1. https://news.ycombinator.com/item?id=35445312

2. https://www.nature.com/articles/ncomms14049

3. https://pypi.org/project/banditpam/

4. https://cran.r-project.org/web/packages/banditpam/index.html

5. https://github.com/motiwari/BanditPAM

6. Wikipedia Bibliography:

   1. https://en.wikipedia.org/wiki/Data_science  :

      https://en.wikipedia.org/wiki/Data_science

   2. K-means clustering

   3. K-medoids

   4. https://en.wikipedia.org/wiki/Medoid  :

      https://en.wikipedia.org/wiki/Medoid

   5. https://en.wikipedia.org/wiki/K-medoids#Partitioning_Around_Medoids_(PAM)  :

      https://en.wikipedia.org/wiki/K-medoids#Partitioning_Around_Medoids_(PAM)

   6. Randomized algorithm

   7. Multi-armed bandit

   8. MNIST database