Updating Metrics Plot Readability

Changed plot to improve readability. Color now used to indicate
dataset. Algorithm name used to indicate algorithm.
Histogram Metrics vs. Algorithm for a Dataset

Initial commit of code that creates a histogram for every
algorithm/metric pair desired. This allows you get an idea of the
distribution across communities of a given metric in the results of an
algorithm.
Clustering Algorithms by Relative Omega Score

Takes the output of run_comparison.py and attempts to cluster
algorithms that produce similar results. Future work should improve the
way the output occurs (right now it’s just printed to the screen).
Reflect Changes in Ground Truth Location

General cleanup + reflecting treating ground truth as just another
algorithm (instead of in a separate directory)
Cleanup cluster_omega_comparison

Several cleanup items:
1) Improve data loading to take advantage of np.loadtext
2) Change number of clusters to be configurable with a default guess of
max(3, sqrt(n)/2)
3) Add ability to print aggregations across datasets
Cleanup run_comparison

Cleanup to treat ground truth as just another algorithm. Also removing
unused code and adding some comments