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, BEAR Cloud 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.
Last modified on 24th March 2021