基于邻域交互增益信息的多标记流特征选择算法
陈超逸,林耀进,唐莉,王晨曦

Streaming multi⁃label feature selection based on neighborhood interaction gain information
Chaoyi Chen,Yaojin Lin,Li Tang,Chenxi Wang
表3 SMFS和其他算法的RL(↓)指标的比较
Table 3 RL (↓) of SMFS and other algorithms
数据集MLNBMDDM?spcMDDM?projPMURF?MLSMFS
平均值0.15080.15480.15830.15400.14890.1405
A0.15420.16310.16620.15840.15760.1418
B0.22370.24410.26080.20420.20930.2160
C0.04190.04560.04650.04390.04270.0410
D0.09220.11380.10890.10990.10160.0923
E0.20550.18250.19040.23010.20400.1749
F0.18710.17970.17680.17740.17810.1768