Abstract
The k-means algorithm is probably the most widely used clustering heuristic, and has the reputation of being fast. How fast is it exactly? Almost no non-trivial time bounds are known for it.
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© 2003 Springer-Verlag Berlin Heidelberg
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Dasgupta, S. (2003). How Fast Is k-Means?. In: Schölkopf, B., Warmuth, M.K. (eds) Learning Theory and Kernel Machines. Lecture Notes in Computer Science(), vol 2777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45167-9_56
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DOI: https://doi.org/10.1007/978-3-540-45167-9_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40720-1
Online ISBN: 978-3-540-45167-9
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