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https://github.com/awojna/Rseslib
26 May 2023, 10:30:29 UTC
Revision c60b98510138f1820e5aa05e9d00d8e475f72966 authored by awojna on 18 May 2020, 17:14:58 UTC, committed by awojna on 18 May 2020, 17:14:58 UTC 
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Tip revision: c60b98510138f1820e5aa05e9d00d8e475f72966 authored by awojna on 18 May 2020, 17:14:58 UTC
README updated
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README.md 
# Rseslib
Rough set and machine learning data structures, algorithms and tools in Java. The project includes algorithms for discernibility matrix, reducts, decision rules and other rough set concepts and wide range of discretization and classification algorithms, including optimized for large data high-accuracy K-NN classifier implementing analogy-based reasoning. The project includes also QMAK - a tool for interacting with machine learning models and visualizing classification process and Simple Grid Manager for running experiments on many computers or cores.

The project is built with Maven.

For more information see the user guide at http://rseslib.mimuw.edu.pl.
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