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This project proposes an algorithm named k-CMM for Clustering Mixed Numeric and Categorical Data with Missing Values

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k-CMM Algorithm

  • This project is based upon work supported in part by the Air Force Office of Scientific Research/Asian Office of Aerospace Research and Development (AAFOSR/AOARD) under award number FA2386-17-1-4046.

  • This proposes an algorithm named k-CMM for Clustering Mixed Numerical and Categorical Data with Missing Values

  • Comments are very welcome and can be sent to email: taidinh@jaist.ac.jp, it08duytai@gmail.com

  • The code is implemented in Python 3.6. If you use this code, please cite to the following paper with Bib:

    @article{dinh2021clustering, title={Clustering mixed numerical and categorical data with missing values}, author={Dinh, Duy-Tai and Huynh, Van-Nam and Sriboonchitta, Songsak}, journal={Information Sciences}, volume={571}, pages={418--442}, year={2021}, publisher={Elsevier} }

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This project proposes an algorithm named k-CMM for Clustering Mixed Numeric and Categorical Data with Missing Values

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