In this code Ant Lion optimization is used to search the feature weights along with the optimal value of nearest neighbor parameter (i.e. k) simultaneously.
Run Main.m file for demo.
The feature weighting with ALO is implemented in FW_ALO.m file. Check this file for more details.
The source code and datasets are also available at GitHub: https://github.com/dalwindercheema/featweight
引用格式
Singh, Dalwinder, and Birmohan Singh. “Hybridization of Feature Selection and Feature Weighting for High Dimensional Data.” Applied Intelligence, vol. 49, no. 4, Springer Science and Business Media LLC, Nov. 2018, pp. 1580–96, doi:10.1007/s10489-018-1348-2.
查看更多格式
| MLA |
Singh, Dalwinder, and Birmohan Singh. “Hybridization of Feature Selection and Feature Weighting for High Dimensional Data.” Applied Intelligence, vol. 49, no. 4, Springer Science and Business Media LLC, Nov. 2018, pp. 1580–96, doi:10.1007/s10489-018-1348-2.
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| APA |
Singh, D., & Singh, B. (2018). Hybridization of feature selection and feature weighting for high dimensional data. Applied Intelligence, 49(4), 1580–1596. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs10489-018-1348-2
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| BibTeX |
@article{Singh_2018,
doi = {10.1007/s10489-018-1348-2},
url = {https://doi.org/10.1007%2Fs10489-018-1348-2},
year = 2018,
month = {nov},
publisher = {Springer Science and Business Media {LLC}},
volume = {49},
number = {4},
pages = {1580--1596},
author = {Dalwinder Singh and Birmohan Singh},
title = {Hybridization of feature selection and feature weighting for high dimensional data},
journal = {Applied Intelligence}
}
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