Convergence rate of stochastic k-means

16 Nov 2016 Cheng Tang Claire Monteleoni

We analyze online \cite{BottouBengio} and mini-batch \cite{Sculley} $k$-means variants. Both scale up the widely used $k$-means algorithm via stochastic approximation, and have become popular for large-scale clustering and unsupervised feature learning... (read more)

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