Authors

Alex Pinto, Sebastian Heusinger

needed libraries

• numpy
• pandas
• matplotlib
• sklearn
• scipy

k-means Clustering:

• <stoppage> selects the stoppage condition used. 0 == reasignment; 1 == cluster_centroids; 2 == sse_threshold
• <threshold> is the threshold for the selected algorithm

if you dont use them the default is sse_threshold and a threshold of 1

python kmeans.py <filepath> <k> [<stoppage> <threshold>]

Hierarchical Clustering:

DBSCAN

python dbscan.py <filepath> <epsilon> <NumPoints> <distance[euclidean|chebyshev|cityblock]>