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[ Source: python-hdmedians  ]

Package: python3-hdmedians (0.14.2-5.1 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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Architecture Version Package Size Installed Size Files
alpha (unofficial port) 0.14.2-5.1 139.1 kB706.0 kB [list of files]
amd64 0.14.2-5.1 166.2 kB670.0 kB [list of files]
arm64 0.14.2-5.1 139.0 kB638.0 kB [list of files]
armel 0.14.2-5.1 144.1 kB562.0 kB [list of files]
armhf 0.14.2-5.1 138.9 kB402.0 kB [list of files]
hppa (unofficial port) 0.14.2-5.1 145.7 kB677.0 kB [list of files]
i386 0.14.2-5.1 161.2 kB662.0 kB [list of files]
ia64 (unofficial port) 0.14.2-5.1 171.8 kB1,133.0 kB [list of files]
m68k (unofficial port) 0.14.2-5.1 133.5 kB538.0 kB [list of files]
mips64el 0.14.2-5.1 123.0 kB716.0 kB [list of files]
ppc64 (unofficial port) 0.14.2-5.1 152.8 kB830.0 kB [list of files]
ppc64el 0.14.2-5.1 156.3 kB766.0 kB [list of files]
riscv64 0.14.2-5.1+b1 183.2 kB559.0 kB [list of files]
s390x 0.14.2-5.1 153.5 kB626.0 kB [list of files]
sh4 (unofficial port) 0.14.2-5.1 203.1 kB626.0 kB [list of files]
sparc64 (unofficial port) 0.14.2-5.1 124.0 kB2,118.0 kB [list of files]
x32 (unofficial port) 0.14.2-5 102.0 kB310.0 kB [list of files]