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遗传算法

于 2022-03-07 发布 文件大小:1.88 kB
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基于iris和sonar的遗传算法验证,在本次遗传算法的实现中,本人采用了第一种判据,即基于距离的可分性判据,基于距离的可分性判据的实质是fisher准则的延申,即综合考虑不同类样本的类内聚集程度与类间的离散程度这两个因素,判据的优化体现出降维特征空间较好的体现类内密集。一些不能体现类间分隔开的特征很可能被排除掉。

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