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Package: python3-hdmedians (0.14.2-4build1)

high-dimensional medians in Python3

Various definitions for a high-dimensional median exist and this Python package provides a number of fast implementations of these definitions. Medians are extremely useful due to their high breakdown point (up to 50% contamination) and have a number of nice applications in machine learning, computer vision, and high-dimensional statistics.

This package currently has implementations of medoid and geometric median with support for missing data using NaN.

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  • dep: cython3
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  • dep: libc6 (>= 2.14) [amd64]
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    also a virtual package provided by libc6-udeb
    dep: libc6 (>= 2.17) [arm64, ppc64el]
    dep: libc6 (>= 2.4) [armhf]
  • dep: python3
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    dep: python3 (<< 3.11)
    dep: python3 (>= 3.10~)
  • dep: python3-numpy
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Architecture Package Size Installed Size Files
amd64 108.4 kB352 kB [list of files]
arm64 102.0 kB304 kB [list of files]
armhf 97.3 kB214 kB [list of files]
ppc64el 128.7 kB432 kB [list of files]