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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+b2 102.9 kB430.0 kB [list of files]
amd64 0.14.2-6+b1 117.7 kB424.0 kB [list of files]
arm64 0.14.2-6+b1 104.9 kB364.0 kB [list of files]
armel 0.14.2-6+b1 107.6 kB360.0 kB [list of files]
armhf 0.14.2-6+b1 104.7 kB296.0 kB [list of files]
hppa (unofficial port) 0.14.2-6+b1 107.5 kB446.0 kB [list of files]
i386 0.14.2-6+b1 117.9 kB417.0 kB [list of files]
ia64 (unofficial port) 0.14.2-5.1 171.8 kB1,133.0 kB [list of files]
loong64 (unofficial port) 0.14.2-6+b2 110.1 kB428.0 kB [list of files]
m68k (unofficial port) 0.14.2-6+b1 91.7 kB328.0 kB [list of files]
mips64el 0.14.2-6+b1 96.2 kB437.0 kB [list of files]
ppc64 (unofficial port) 0.14.2-6+b1 116.7 kB492.0 kB [list of files]
ppc64el 0.14.2-6+b1 115.4 kB492.0 kB [list of files]
riscv64 0.14.2-6+b1 118.0 kB320.0 kB [list of files]
s390x 0.14.2-6+b1 113.9 kB392.0 kB [list of files]
sh4 (unofficial port) 0.14.2-6+b1 143.9 kB361.0 kB [list of files]
sparc64 (unofficial port) 0.14.2-6+b1 93.0 kB1,073.0 kB [list of files]
x32 (unofficial port) 0.14.2-6+b1 122.7 kB393.0 kB [list of files]