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 | 4b43e63d0463ab163587b202941a0b0f |
arch | x86_64 |
build | py310h06a4308_0 |
depends | joblib >=0.11, numpy >=1.10.4,<2.0a0, python >=3.10,<3.11.0a0, scikit-learn >=0.22.0, scipy >=0.13.3 |
license | MIT |
license_family | MIT |
md5 | 4b43e63d0463ab163587b202941a0b0f |
name | kmodes |
platform | linux |
sha1 | 461d3b6594b1038437a89e3a41d66d7a8c86ab19 |
sha256 | cbb5d1d8e68cb733e68bf52e1f787ba9251b22e37a565f7c95dc56415b1a2f8d |
size | 33147 |
subdir | linux-64 |
timestamp | 1686295853945 |
version | 0.12.2 |