Dissimilar attribute reductions based on hierarchical clustering method
基于层次聚类的差异化属性约简算法

Attribute reduction is an important concept in rough set data analysis.An algorithm for dissimilar reductions finding was presented.Method of bottom-up agglomerative hierarchical clustering was used to get k partitions of conditional attributes set,and then these k attribute sets were dealt with by post-processing and get k dissimilar attribute reductions.Result of experiments show that our method is effective.