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disc_MDLP
- 数据离散化的方法 对于不能处理连续问题的算法 可先进行离散化 然后在进行相关工作-Data discretization methods can not handle the problem of discontinuity for the algorithm can first be discretized and then carrying out related work
chimerge
- 著名属性离散化方法chimerge的论文，在此基础上先后出现了chi2，modified_chi2,rectified_chi2等算法-chimerge discretization algorithm
test
- 引入能直接处理连续型数据的邻域粗糙集约简模型，给出一种基于邻域粗糙集模型和粒子群优化的特征选择算法。仿真实验结果表明该算法可以选择较少的特征，改善分类的能力。-employs the neighborhood rough set reduction model which can process the numerical features directly without discretization. Then the particle fitness function in particl
Rough-set
- 基于Rough集理论的研究平台，集成了包括数据补齐、离散化、属性约简、值约简等30余种算法-Rough Set Theory-based research platform that integrates more than 30 algorithms including padded data, discretization, attribute reduction, value reduction, etc.
Rough-Set-based-Feature-Selection
- 离散人工蜂群算法用于解决特征选取问题，可以学习文章中将群智能算法离散化的方法，以便于解决离散问题。-Discrete artificial bee colony algorithm for solving feature selection problem, you can learn article will swarm intelligence algorithm discretization method, in order to solve the discrete problem.
naive
- naive scaler discretization