moved working k_means.py over from other project, tests passing
good print statements added for watching behavior.  Convergence test added in algorithm working
normalized data for tests working
added helper function for averaging centroid results over multiple runs
centroids for each run now sorted - prep for averaging
find_schools_in_cluster seems to be working... onto tests
sorting bug fixed, but averaging isn't going to work with high clusters as implemented.  Much more variance in clusters found, and sorting them isn't working well.
abandoning K-means for now, actually not best way to get the info we need.  K-means multi-run functionality is WRONG.  It needs to choose the run with the lowest COST, not average the results of multiple runs.
moved K-means stuff to k_means folder
Merge pull request #4 from lfritts/kmeans1

Kmeans1