Study on Evaluating Data Classifying Quality Based on Mutual Subsethood
基于互包含度的数据分类效果评价研究

Based on the shortage of fuzzy c-means algorithm which initialized classification parameter is sensitivity to data classifying quality,and different initialized classification parameters generate classifying result with bigger other- ness. A new evaluating criterion based on mutual subsethood puts forward to assess data classifying quality in this pa- per. Experimental results show that an evaluating criterion proposed in this paper is feasible.