计算机科学 ›› 2016, Vol. 43 ›› Issue (2): 95-97.doi: 10.11896/j.issn.1002-137X.2016.02.021
• 2015年中国计算机学会人工智能会议 • 上一篇 下一篇
朱红,丁世飞
ZHU Hong and DING Shi-fei
摘要： 提出了一种基于属性区分能力和AP聚类的属性粒化方法(Attribute Granulation based on attribute discernibility and AP algorithm,AGAP)。该方法首先依据属性依赖度计算属性的区分能力；然后将所有属性作为潜在的聚类中心,使用AP算法聚类,得到若干个属性簇类；最后采取选用代表属性的方法得到较粗的属性粒子,从而达到属性粗粒化的要求。对高维数据的特征降维,这种算法比传统的属性约简算法大大提高了运算效率,在属性粒化精度要求不是很严格的情况下,所提算法优势明显。
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