Adding Experiments Focused on Comparing Community Detection Results

Adding experiments that look at the results from the community detection:
1) Using Omega score as a distance metric cluster the distance matrix produced by run_comparison.py. This clustering is an attempt and finding how similar various algorithms are.
See: Issue #18  for additional Info
2) Create historgrams of metrics across algorithms. This attempts to show how the communities differ across the various algorithms
![flights](https://cloud.githubusercontent.com/assets/6910921/5404760/9867b3fe-814f-11e4-9b30-9b0857bc70c1.png)
3) Update the Omega Score vs. Time plot for readability