Wednesday 11 February 2015

Data Science 102: K-means clustering is not a free lunch

K-means is a widely used method in cluster analysis, but what are its underlying assumptions and drawbacks? David Robinson examines what happens for non-spherical data and unevenly sized clusters.

Read here on KD Nuggets

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