kmodes 0.11.0-foss-2020a-Python-3.8.2k-modes is used for clustering categorical variables. It defines clusters based on the number of matching categories between data points. (This is in contrast to the more well-known k-means algorithm, which clusters numerical data based on Euclidean distance.) The k-prototypes algorithm combines k-modes and k-means and is able to cluster mixed numerical / categorical data.
Accessing kmodes 0.11.0-foss-2020a-Python-3.8.2
To load the module for kmodes 0.11.0-foss-2020a-Python-3.8.2 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load kmodes/0.11.0-foss-2020a-Python-3.8.2
BEAR Apps Version
- kmodes 0.11.0
For more information visit the kmodes website.
This version of kmodes has a direct dependency on: foss/2020a Python/3.8.2-GCCcore-9.3.0 scikit-learn/0.23.2-foss-2020a-Python-3.8.2 SciPy-bundle/2020.03-foss-2020a-Python-3.8.2
Last modified on 24th March 2021