###Description Rough clustering for integer features - See /code/README_rough_sets Rough k-means clustering for float features - See /code/README_rough_kmeans
####Input
Both algorithms take as input a dictionary with <feature_name> : list pairs (float/integer features)
####Usage
/tests/rough_clustering_tests.py - example usage and tests for known 2-class clustering problem in UCI Statlog Data
set for credit risk
/tests/rough_kmeans_tests.py - example usage and tests for known 4-class clustering problem