/EBDM

Implemented the research paper ‘A Unified Entropy-Based Distance Metric for Ordinal-and-Nominal-Attribute Data Clustering’ by Zhang et al. and built a python package for finding a common distance matrix for the ordinal and nominal data from any kind of questionnaire data, based on entropy measures. Tested the package on multiple datasets for robustness.

Primary LanguagePythonMIT LicenseMIT

Watchers