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本文提出用Rough Set方法约简特征向量的维数,利用决策规则一致性检验算法过滤样本集合,删除在样本集合中相互矛盾的样本向量.对经Rough Set方法处理的样本集合本文采用Nalve Bayes方法算法分类,并将分类结果与原样本集合的分类结果进行了比较.
Rough集属性约简在网页关键词特征压缩中的应用
【摘 要】
：
本文提出用Rough Set方法约简特征向量的维数,利用决策规则一致性检验算法过滤样本集合,删除在样本集合中相互矛盾的样本向量.对经Rough Set方法处理的样本集合本文采用Nalve
【机 构】
：
浙江师范大学信息学院智能计算与并行计算研究所(金华)
【出 处】
：
第四届中国Rough集与软计算学术研讨会
【发表日期】
：
2004年10期
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