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Optimal algorithms for complete linkage clustering in d dimensions

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Mathematical Foundations of Computer Science 1997 (MFCS 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1295))

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Abstract

It is shown that the complete linkage clustering of a set of n points in ā„d where d ā‰„ 1 is a constant, can be computed in optimal O(n log n) time and linear space, under the L 1 and Lāˆž-metric. Furthermore, it is shown that, for every other fixed L t -metric, it can be approximated within an arbitrarily small constant factor in O(n log n) time using linear space.

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Igor PrĆ­vara Peter Ružička

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Ā© 1997 Springer-Verlag Berlin Heidelberg

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Krznaric, D., Levcopoulos, C. (1997). Optimal algorithms for complete linkage clustering in d dimensions. In: PrĆ­vara, I., Ružička, P. (eds) Mathematical Foundations of Computer Science 1997. MFCS 1997. Lecture Notes in Computer Science, vol 1295. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029980

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  • DOI: https://doi.org/10.1007/BFb0029980

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63437-9

  • Online ISBN: 978-3-540-69547-9

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