Feature Selection Library

版本 6.1.2018 (587.3 KB) 作者: Giorgio
Feature Selection Library (MATLAB Toolbox)
2.0
(1)
849.0 次下载
更新时间 2018/7/16

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Feature Selection Library (FSLib 2018) is a widely applicable MATLAB library for feature selection.
Methods provided with FSLib:
[1] ILFS
[2] InfFS
[3] ECFS
[4] mrmr
[5] relieff
[6] mutinffs
[7] fsv
[8] laplacian
[9] mcfs
[10] rfe
[11] L0
[12] fisher
[13] UDFS
[14] llcfs
[15] cfs

If you use our toolbox (or method included in it), please consider to cite:
[1] Roffo, G., Melzi, S., Castellani, U. and Vinciarelli, A., 2017. Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach. arXiv preprint arXiv:1707.07538.
[2] Roffo, G., Melzi, S. and Cristani, M., 2015. Infinite feature selection. In Proceedings of the IEEE International Conference on Computer Vision (pp. 4202-4210).
[3] Roffo, G. and Melzi, S., 2017, July. Ranking to learn: Feature ranking and selection via eigenvector centrality. In New Frontiers in Mining Complex Patterns: 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers (Vol. 10312, p. 19). Springer.
[4] Roffo, G., 2017. Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition Applications. arXiv preprint arXiv:1706.05933.

引用格式

Giorgio (2024). Feature Selection Library (https://www.mathworks.com/matlabcentral/fileexchange/68210-feature-selection-library), MATLAB Central File Exchange. 检索时间: .

MATLAB 版本兼容性
创建方式 R2018a
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致谢

参考作品: Infinite Feature Selection

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FSLib_v6.1_2018

FSLib_v6.1_2018/eval_metrics

FSLib_v6.1_2018/lib

FSLib_v6.1_2018/lib/@algorithm

FSLib_v6.1_2018/lib/@data

FSLib_v6.1_2018/lib/@distance

FSLib_v6.1_2018/lib/@fisher

FSLib_v6.1_2018/lib/@kernel

FSLib_v6.1_2018/lib/@l0

FSLib_v6.1_2018/lib/@loss

FSLib_v6.1_2018/lib/@rfe

FSLib_v6.1_2018/lib/@svm

FSLib_v6.1_2018/lib/drtoolbox

FSLib_v6.1_2018/lib/drtoolbox/gui

FSLib_v6.1_2018/lib/drtoolbox/techniques

FSLib_v6.1_2018/methods

版本 已发布 发行说明
6.1.2018