README

README
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I did it as a part of homework problem in the Machine Learning class taught by Prof Daniel Gildea (https://www.cs.rochester.edu/~gildea/) in Spring 2014. Here I implemented a Gaussian Mixture Model (GMM) Clustering using Expectation Maximization (EM) algorithm.
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Name: Md. Iftekhar Tanveer
Email: itanveer@cs.rochester.edu  or  mtanveer@z.rochester.edu
Course: CS446
Homework: EM algorithm


************** Files ***************
README: This document
progAss2.py: The original python script. Just run the file using python. The main function will automatically called.
voting2.dat: Dataset file

************* Algorithm ************
It is commented well in the code


************* Results **************
4 clusters. pictures attached

************* Interpretations *****
Max possible development likelihood falls if the number of cluster exceeds 4