【原始碼】MATLAB特徵選擇函式庫version 6.2.2018.1

特徵選擇庫(FSLib 2018)是一種廣泛應用的用於特徵選擇(屬性或變數選擇)的MATLAB函式庫，它能夠簡化高維問題，使資料模型的精度、自動決策規則的效能最大化，同時降低資料採集的成本。

本函式庫包括的主要特徵選擇函式如下：

% [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

% [16] fsasl

% [17] dgufs

% [18] ufsol

% [19] lasso

相關參考文獻：

[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.

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