K-means algorithm is a distance based clustering algorithm which is simple and classic. Distance is used as a similarity evaluation index, that is, the closer the distance between the two objects is, the greater the similarity is. The algorithm considers that clusters are composed of objects close to each other. Therefore, a compact and independent cluster is the ultimate goal.

Filename	Size	Update
kmeans	0	2018-04-08
kmeans\data.txt	80	2018-04-08
kmeans\data.txt~	80	2014-05-26
kmeans\kmeans.py	2763	2018-04-08
kmeans\kmeans.pyc	2649	2014-05-26
kmeans\kmeans.py~	2749	2014-05-26
kmeans\test.py	593	2018-04-08
kmeans\test.py~	599	2014-05-26
kmeans\__pycache__	0	2018-04-06
kmeans\__pycache__\kmeans.cpython-35.pyc	2200	2018-04-06

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