Framework for developing fuzzy and fuzzy-rough classification models for multiple instance data
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Updated
Mar 10, 2020 - Java
Framework for developing fuzzy and fuzzy-rough classification models for multiple instance data
Rough set class library for machine learning
Implementation of Hybrid fuzzy-rough Rule induction and feature selection paper 2009 by Richard Jensen
Meta learning framework based on rough set measures
Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.
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