How the initialization affects the stability of the k-means algorithm

Bubeck, S; Meila, M; von Luxburg, U; von Luxburg, U.

doi:10.1051/ps/2012013

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How the initialization affects the stability of the k-means algorithm

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Bubeck, S
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;

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von Luxburg, U
Research Group Machines Learning Theory, Max Planck Institute for Intelligent Systems, Max Planck Society;

/persons/resource/persons76237

von Luxburg, U.
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
Research Group Machines Learning Theory, Max Planck Institute for Intelligent Systems, Max Planck Society;

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Bubeck, S., Meila, M., von Luxburg, U., & von Luxburg, U. (2012). How the initialization affects the stability of the k-means algorithm. ESAIM: Probability and Statistics, 16, 436-452. doi:10.1051/ps/2012013.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000E-FDD1-B

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