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[ Source: python-hdmedians  ]

Package: python3-hdmedians (0.14.2-6 and others)

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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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Download for all available architectures
Architecture Version Package Size Installed Size Files
alpha (unofficial port) 0.14.2-6 145.4 kB823.0 kB [list of files]
amd64 0.14.2-6 172.4 kB839.0 kB [list of files]
arm64 0.14.2-6 143.9 kB691.0 kB [list of files]
armel 0.14.2-6 149.1 kB685.0 kB [list of files]
armhf 0.14.2-6 140.2 kB557.0 kB [list of files]
hppa (unofficial port) 0.14.2-6 150.8 kB863.0 kB [list of files]
i386 0.14.2-6 164.0 kB801.0 kB [list of files]
ia64 (unofficial port) 0.14.2-5.1 171.8 kB1,133.0 kB [list of files]
m68k (unofficial port) 0.14.2-6 124.7 kB605.0 kB [list of files]
mips64el 0.14.2-6 127.9 kB837.0 kB [list of files]
ppc64 (unofficial port) 0.14.2-6 154.8 kB947.0 kB [list of files]
ppc64el 0.14.2-6 156.7 kB947.0 kB [list of files]
riscv64 0.14.2-6 162.0 kB587.0 kB [list of files]
s390x 0.14.2-6 152.5 kB739.0 kB [list of files]
sh4 (unofficial port) 0.14.2-6 220.7 kB685.0 kB [list of files]
sparc64 (unofficial port) 0.14.2-6 128.2 kB2,109.0 kB [list of files]
x32 (unofficial port) 0.14.2-6 176.5 kB749.0 kB [list of files]