Semi-supervised filter feature selection based on natural Laplacian score and maximal information coefficient

Author:

Wu Quanwang,Cai Kun,Sun Jianxun,Wang Shanwei,Zeng Jie

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Reference29 articles.

1. Zhu H, Zhou M, Xie Y, Albeshri A (2024) A self-adapting and efficient dandelion algorithm and its application to feature selection for credit card fraud detection. IEEE/CAA J Automat Sin 11(2):38–51

2. Chandrashekar G, Sahin F (2014) A survey on feature selection methods. Comput Electr Eng 40(1):16–28

3. Battiti R (1994) Using mutual information for selecting features in supervised neural net learning. IEEE Trans Neural Netw 5(4):537–550

4. He X, Cai D, Niyogi P (2005) Laplacian score for feature selection. Adv Neural Inf Process Syst 18:507–514

5. Sheikhpour R, Sarram MA, Gharaghani S, Chahooki MAZ (2017) A survey on semi-supervised feature selection methods. Pattern Recogn 64:141–158

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