APPLICATION OF A GENETIC ALGORITHM TO FEATURE-SELECTION UNDER FULL VALIDATION CONDITIONS AND TO OUTLIER DETECTION
APPLICATION OF A GENETIC ALGORITHM TO FEATURE-SELECTION UNDER FULL VALIDATION CONDITIONS AND TO OUTLIER DETECTION
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DOI：
10.1002/cem.1180080107
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发表时间：
1994-01-01
影响因子：
2.4
通讯作者：
LEARDI, R
中科院分区：
文献类型：
--
作者：
LEARDI, R
遗传算法已被证明是解决特征选择问题的一种非常有效的方法。然而，对于其他任何方法，如果以不完整的方式对结果进行验证，可能会得出错误的结论。本文对已有的遗传算法进行了改进，使其结果得到了充分的验证。此外，该算法也被证明是一种非常好的异常值检测器，即使在经典技术失败的情况下，也可以很容易地识别异常值的存在。
Genetic algorithms have been proved to be a very efficient method in the feature selection problem. However, as for every other method, if the validation of the results is performed in an incomplete way, erroneous conclusions can be drawn. In this paper a development of a previous genetic algorithm is presented so that a full validation of the results can be obtained. Furthermore, this algorithm has been shown to perform very well also as an outlier detector, allowing easy identification of the presence of outliers even in cases where the 'classical' techniques fail.