The model aims to classify the facebook circle of a persn into clusters based on features from a user's timeline and facebook data. Features selected:
- number of photos tagged together,
- number of conversations with a particular topic, say music,
- checkins together (helping in determining a party buddy) etc.
This model is a simple k-means clustering based model and visualizes IDs of the users in a k-means clustering plot.