6 Breaking K means and algorithms

Описание к видео 6 Breaking K means and algorithms

This goes over the limitations of K-means clustering. It discusses how clusters are biased to have equal size, how it assume spherical clusters, how the means and variance estimates are biased, and the effects of multicollinearity.

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