Factor Implicit Model of Machine Classification Learning Based on Factor Space Theory
Ying Wang, Fanhui Zeng, Hui Sun, Xiaotong Liu, Kaile Lin, Kaijie Zhang · 2023
The algorithm proposed in this paper can not only solve the binary classification problem, but can also solve the multi-classification problem. The combination of categories is defined on the basis of the sweeping serial classification algorithm, and the merging serial classification method of factors, both explicit and implicit, is proposed. The algorithm steps are given, and the numerical example is used for analysis. The results show that the proposed combined serial scanning classification method achieves factor concealment and is feasible and practical. The conclusion of factor implicit research on multi-classification learning expands the theory and application of factor space.