Feature Selection by Eigenvector Centrality

バージョン 4.1.0.0 (748 KB) 作成者: Giorgio
Feature Selection by Eigenvector Centrality for Matlab - Updates 2016
ダウンロード: 908
更新 2016/12/21

ライセンスの表示

A selection of recent state of the art "feature ranking and selection" methods for Matlab.

BibTex
------------------------------------------------------------------------
@InProceedings{RoffoICCV15,
author={G. Roffo and S. Melzi and M. Cristani},
booktitle={2015 IEEE International Conference on Computer Vision (ICCV)},
title={Infinite Feature Selection},
year={2015},
pages={4202-4210},
keywords={feature extraction;image classification;image filtering;matrix algebra;object recognition;Inf-FS;classification setting;feature learning strategy;filter-based feature selection;infinite feature selection;matrices;object recognition;Benchmark testing;Convergence;Feature extraction;Joining processes;Object recognition;Redundancy;Standards},
doi={10.1109/ICCV.2015.478},
month={Dec}}
------------------------------------------------------------------------

引用

Giorgio (2024). Feature Selection by Eigenvector Centrality (https://www.mathworks.com/matlabcentral/fileexchange/54764-feature-selection-by-eigenvector-centrality), MATLAB Central File Exchange. 取得済み .

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作成: R2015a
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ヒントを得たファイル: Infinite Feature Selection, Feature Selection Library

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バージョン 公開済み リリース ノート
4.1.0.0

+ documentation

3.9.0.0

[1] InfFS
[2] ECFS
[3] mrmr
[4] relieff
[5] mutinffs
[6] fsv
[7] laplacian
[8] mcfs
[9] rfe
[10] L0
[11] fisher
[12] UDFS
[13] llcfs
[14] cfs

3.0.0.0

- Added new method: Features Selection via Eigenvector Centrality (ECFS) 2016
- Updated the Infinite Feature Selection (InfFS) - Strong improvments on ranking accuracy 2016

2.2.0.0

Added 9 more feature selection methods from recent literature (2016)

1.6.0.0

http://www.mathworks.com/matlabcentral/fileexchange/56815-feature-selection-library

1.5.0.0

Demo file Added