- libc6 (>= 2.17)
- python3 (<< 3.14)
- python3 (>= 3.13~)
- python3-numpy
- python3-numpy2-abi0 | python3-numpy-abi9
- python3:any
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.
Installed Size: 372.7 kB
Architectures: arm64 amd64