混合特征数据的自解释归约建模方法*
江思伟, 谢振平, 陈梅婕, 蔡明

Self-Explainable Reduction Method for Mixed Feature Data Modeling
Jiang Siwei,Xie Zhenping,Chen Meijie,Cai Ming
表2 不同方法的分类精度结果
数据集 Na?veBayes 本文方法+Na?veBayes K-means+Na?veBayes FCM+Na?veBayes
glass 49.53 % 59.14±4.60% 61.92±4.12% 62.43±3.75%
wine-quality white 61.55% 67.97±3.31% 66.14±2.99% 65.87±3.32%
wine-quality red 55.35% 54.00±2.03% 58.16±0.98% 58.38±0.95%
dermatology 96.99% 96.94±0.11% 96.83±0.18% 96.78±0.11%
ionosphere 82.62 % 86.85±1.70% 84.63±1.70% 84.47±1.63%
adult 88.69% 92.47±0.82% 89.78±0.63 % 91.34±0.80%