A3: Unsupervised learning with PCA, t-SNE, k-means, AHC and SOM

Datasets (input)

The unsupervised learning techniques are applied on two datasets:

Source code of PCA:

Source code of t-SNE:

Source code of k-means:

Source code of AHC:

Source code of SOM:

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
input		input
output_som_d1		output_som_d1
output_som_d2		output_som_d2
A3_report.pdf		A3_report.pdf
AHC_d1.ipynb		AHC_d1.ipynb
AHC_d2.ipynb		AHC_d2.ipynb
PCA_d1.ipynb		PCA_d1.ipynb
PCA_d2.ipynb		PCA_d2.ipynb
README.md		README.md
SOM.ipynb		SOM.ipynb
SOM_d1.py		SOM_d1.py
SOM_d2.py		SOM_d2.py
k-means_d1.ipynb		k-means_d1.ipynb
k-means_d2.ipynb		k-means_d2.ipynb
t-SNE_d1.ipynb		t-SNE_d1.ipynb
t-SNE_d2.ipynb		t-SNE_d2.ipynb