Module 1: Makins sense of unstructured data

Clustering is something we can get done by the K means method.

PCA: Principal Component Analysis

PCA and K -Means Decipher Genome is a Paper where you can learn how data visualization can help in genomic secuence alanysis.

Steps on spectral clustering:

1. Create neighbourhood graph.
2. Compute laplacian matrix.
3. Compute eigenvectors of the laplacian matrix.
4. K means clustering on new features.