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 |