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Python implementations of the k-modes and k-prototypes clustering algorithms for clustering categorical data.

Uploaded Sun Mar 30 23:24:18 2025
md5 checksum 0c929b6ec1330d554bec0179f5c1324f
arch x86_64
build py39h06a4308_0
depends joblib >=0.11, numpy >=1.10.4,<2.0a0, python >=3.9,<3.10.0a0, scikit-learn >=0.22.0, scipy >=0.13.3
license MIT
license_family MIT
md5 0c929b6ec1330d554bec0179f5c1324f
name kmodes
platform linux
sha1 c23205e7a01532b2c52adb59ce3d77210a72231d
sha256 83405126efa4b39d89e58f4989173a94bba1149c2ad20b7a97c9e90676611425
size 32925
subdir linux-64
timestamp 1686295817169
version 0.12.2