Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
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Updated
Jun 19, 2024 - Python
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Code for our IEEE TPAMI 2024 paper "Simplex Clustering via sBeta With Applications to Online Adjustment of Black-Box Predictions" - Python implementation of clustering algorithms applied on the probability simplex domain (e.g. clustering of softmax predictions from Black-Box source models).
Classifying bank transactions with unsupervised k-prototypes clustering.
Bachelor thesis is submitted in fulfilment of the requirements for the Bachelor of Science degree in the Department of Business Analytics and Information Technologies at the Faculty of Applied Sciences of Ukrainian Catholic University.
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