K-Means implementation using Numpy, HW 4 - CS445 Machine Learning - Winter 2012 - PSU
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KMeans.py
README

README

K-Means
a very fast implementation of the K-Means unsupervised learning algorithm,
using Numpy
Author: Karl Hiner
github repo for cloning: git@github.com:khiner/K-Means.git

*****RUN INSTRUCTIONS*****

To run, use

$ python KMeans.py [-h] [-k K] [-r TRAIN] [-t TEST]

optional arguments:
  -h, --help            show this help message and exit
  -k K                  number of clusters.  default is 3
  -r TRAIN, --train TRAIN
                        train file. default is data/wine.train
  -t TEST, --test TEST  test file. default is data/wine.test