k-Means Clustering

1) select k seed examples as initial centres

2) calculate the distance from each centre to each example

3) assign each example to the nearest cluster

4) calculate new centres

5) repeat steps 2-4 until a stopping condition is reached

 

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Maintained by Dr Michael J. Watts (mike.watts.net.nz).