Add ex7.pdf which describes the walkthrough of the exercise
Add example image
Add Octave script for K-means exercise
Add example dataset for PCA
Add example dataset for K-means
Add faces dataset
Add function for displaying 2D data stored in a matrix
Add function for drawing a line over an existing figure
Add function to run K-means algorithm
Add function to display the progress of each step with K-means.
Add function to plot data point in X
Add function which runs PCA on the dataset X
Add function to normalise the features in X
Add function to compute centroid means
Add function to find closest centroids
Add function to initialise K-means centroids
Add function to project a dataset into a lower dimensional space
Add function to recover the original data from the projection
Add .gitignore
For each point in X, set 2-norm value of difference between the point and 1st centroid as tempNorm, and set 1st centroid is the closest centroid.