Nested Mini-Batch K-Means

NeurIPS 2016 James NewlingFrançois Fleuret

A new algorithm is proposed which accelerates the mini-batch k-means algorithm of Sculley (2010) by using the distance bounding approach of Elkan (2003). We argue that, when incorporating distance bounds into a mini-batch algorithm, already used data should preferentially be reused... (read more)

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