Neighborhood attribute reduction approach to partially labeled data

2018 ◽  
Vol 5 (2) ◽  
pp. 239-250 ◽  
Author(s):  
Keyu Liu ◽  
Eric C. C. Tsang ◽  
Jingjing Song ◽  
Hualong Yu ◽  
Xiangjian Chen ◽  
...  
2019 ◽  
Vol 186 ◽  
pp. 104938 ◽  
Author(s):  
Xiaojun Xie ◽  
Xiaolin Qin ◽  
Qian Zhou ◽  
Yanghao Zhou ◽  
Tong Zhang ◽  
...  

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Qing Wan ◽  
Ling Wei

This paper mainly studies attribute reduction which keeps the lattice structure in formal contexts based on the property pictorial diagram. Firstly, the property pictorial diagram of a formal context is defined. Based on such diagram, an attribute reduction approach of concept lattice is achieved. Then, through the relation between an original formal context and its complementary context, an attribute reduct of complementary context concept lattice is obtained, which is also based on the property pictorial diagram of the original formal context. Finally, attribute reducts in property oriented concept lattice and object oriented concept lattice can be acquired by the relations of attribute reduction between these two lattices and concept lattice of complementary context. In addition, a detailed illustrative example is presented.


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