Model-based clustering package for mixed data
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Updated
May 15, 2024 - Jupyter Notebook
Model-based clustering package for mixed data
Repository of a data modeling and analysis tool based on Bayesian networks
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This repository includes the R code used for the project "Mixed-type data clustering: a full factorial benchmarking study on distance-based clustering methods", written by Efthymios Costa. The project is supervised by Dr. Ioanna Papatsouma (Imperial College London) and co-supervised by Professor Alastair Young (Imperial College London).
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A simplified algorithm to cluster mixed-type data(numerical and categorical).
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