Feature selection via discretization 论文
1997IEEE Transactions on Knowledge and Data Engineering引用 325
Machine Learning and Data ClassificationMachine Learning and AlgorithmsData Mining Algorithms and Applications
摘要
Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant and/or redundant attributes. Chi2 is a simple and general algorithm that uses the /spl chi//sup 2/ statistic to discretize numeric attributes repeatedly until some inconsistencies are found in the data. It achieves feature selection via discretization. It can handle mixed attributes, work with multiclass data, and remove irrelevant and redundant attributes.