Python implementations of the k-modes and k-prototypes clustering algorithms for clustering categorical data.
Uploaded | Sun Mar 30 23:24:17 2025 |
md5 checksum | 269a3c23effb2b3a70c0a872476812b6 |
arch | x86_64 |
build | py311h06a4308_0 |
depends | joblib >=0.11, numpy >=1.10.4,<2.0a0, python >=3.11,<3.12.0a0, scikit-learn >=0.22.0, scipy >=0.13.3 |
license | MIT |
license_family | MIT |
md5 | 269a3c23effb2b3a70c0a872476812b6 |
name | kmodes |
platform | linux |
sha1 | f28fa0e6ebf8d2e81aee869da7e0640c04c51612 |
sha256 | c01c7f98c678857d69be9a17dbc2979ea87665a8d78b9edc778d96d3e0ae069b |
size | 41952 |
subdir | linux-64 |
timestamp | 1686295777705 |
version | 0.12.2 |