Revision Notes

https://github.com/SachinScaler/UnsupervisedML_Feb24/blob/main/Revision%20Notes%20Unsupervised%20Module.pdf

CheatSheet

https://github.com/SachinScaler/UnsupervisedML_Feb24/blob/main/Cheat%20Sheet%20Unsupervised%20Learning%20Algorithm.pdf

All in One Codes Notebook

https://github.com/SachinScaler/UnsupervisedML_Feb24/blob/main/AllInOne_Unsupervised_Notebook.ipynb

Short Summaries of all Algos

https://github.com/SachinScaler/UnsupervisedML_Feb24/tree/main/5%20Minute%20Summary

Other Important Links

KMeans

Michigan Clustering PDF : https://cs.wmich.edu/alfuqaha/summer14/cs6530/lectures/ClusteringAnalysis.pdf

Visualization K-Means: https://www.naftaliharris.com/blog/visualizing-k-means-clustering/

DunnIndex and Silhoutte_Score

https://github.com/SachinScaler/UnsupervisedML_Feb24/blob/main/DunnIndex%20and%20Silhoutte_Score.ipynb

GMM

Gaussian Visualization : http://socr.ucla.edu/htmls/HTML5/BivariateNormal/

https://jakevdp.github.io/PythonDataScienceHandbook/05.12-gaussian-mixtures.html

t-SNE

TSNE Oreiley : https://www.oreilly.com/content/an-illustrated-introduction-to-the-t-sne-algorithm/

How to User t-SNE Effectively: https://distill.pub/2016/misread-tsne/

t-SNE Research Paper: https://www.jmlr.org/papers/volume9/vandermaaten08a/vandermaaten08a.pdf

UMAP:

UMAP blog: https://pair-code.github.io/understanding-umap/