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FCBF-java
- Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlat
FCBF
- 这是FCBF的matlab程序。FCBF是比较实用的特征选择和降维的方法。在这个文件里面，有个word文件详细说明了FCBF的使用方法。本站只有FCBF的java程序。-This is a matlab program of FCBF. FCBF is a more practical method of feature selection and dimensionality reduction. Within the file, a word file detailed deccribed
wajue222
- 针对实际幵发的一个客户关系管理系统,在开发与研究的过程中结合 数据挖掘技术对其中的数据进行了一些离散化、特征选择等预处理 在对数据 进行预处理的过程中对FCBF (Fast Correlation-Based Filter,基于快速的筛选/ 过滤)算法做了改进,改进后的算法能更好的对数据进行特征选择 -The actual concurrency and a customer relationship management system, combined with th
FCBF
- This a one of the data mining algorithm completly made by me. This is based on feature subset selection. One of the popular algorithm of feature selection named Fast Correlation based feature selection algorithm(FCBF).It s complete code is here with
FCBF
- 本代码是FCBF的源代码，用于处理连续型属性的特征选择，先将连续型属性值离散化，再筛选-This code is FCBF source code for handling continuous attributes feature selection, the first continuous discrete attribute values, re-screened
FCBF
- FCBF算法是基于显著的思想，采用后向顺序搜索策略快速有效地寻找最优特征子集的特征选择方法，它采用对称不确定性作为相关程度度量标准，每次选择一个显著特征并删除它的所有冗余特征。(The FCBF algorithm is based on the significant idea, using the backward sequential search strategy to find the feature selection method quickly and effectively.