PySubCMedians
Authors: Sergio Peignier, Christophe Rigotti, Anthony Rossi and Guillaume Beslon
Python implementation of the SubCMedians algorithm. SubCMedians is a Subspace Clustering algorithm that extends the K-medians paradigm. SubCMedians is a simple hill climbing algorithm based on stochastic weighted local exploration steps. This median based algorithm exhibits satisfactory quality clusters when compared to well-established paradigms, while medians have still their own interests depending on the user application (robustness to noise/outliers and location optimality). Detailled description available in the paper "Weight-based search to find clusters around medians in subspaces" presented in the ACM SAC conference 2018.
Installation
Dependencies :
- numpy
- pandas
- seaborn
- scikit-learn
- scipy
- tqdm
1 maintainer
Metadata
1 maintainer
Release files for SubCMedians 0.0.10
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| SubCMedians-0.0.10-py3-none-any.whl | Python 3 | none | any | Details for SubCMedians-0.0.10-py3-none-any.whl |
Total release size: 57.0 kB
Release files / SubCMedians-0.0.10.tar.gz
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