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Size: 709632 |
Author: wangli |
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Description: 带有收缩因子和惯性权重的基本PSO粒子群算法源代码。本源代码模块化编写，结构清晰，便于改进和做数值实验-With contraction factor and inertia weight PSO basic particle swarm algorithm source code. Source code modular preparation, structure, clear, easy to improve and to do numerical experiments
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Size: 3072 |
Author: 楚湘华 |
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Description: Feature Selection using Matlab.
The DEMO includes 5 feature selection algorithms:
• Sequential Forward Selection (SFS)
• Sequential Floating Forward Selection (SFFS)
• Sequential Backward Selection (SBS)
• Sequential Floating Backward Selection (SFBS)
• ReliefF
Two CCR estimation methods:
• Cross-validation
• Resubstitution
After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.
Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.
This software was developed using Matlab 7.5 and Windows XP.
Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,
jimver@aiia.csd.auth.gr
costas@aiia.csd.auth.gr-Feature Selection using Matlab.
The DEMO includes 5 feature selection algorithms:
• Sequential Forward Selection (SFS)
• Sequential Floating Forward Selection (SFFS)
• Sequential Backward Selection (SBS)
• Sequential Floating Backward Selection (SFBS)
• ReliefF
Two CCR estimation methods:
• Cross-validation
• Resubstitution
After selecting the best feature subset, the classifier obtained can be used for classifying any pattern.
Figure: Upper panel is the pattern x feature matrix
Lower panel left are the features selected
Lower panel right is the CCR curve during feature selection steps
Right panel is the classification results of some patterns.
This software was developed using Matlab 7.5 and Windows XP.
Copyright: D. Ververidis and C.Kotropoulos
AIIA Lab, Thessaloniki, Greece,
jimver@aiia.csd.auth.gr
costas@aiia.csd.auth.gr
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Size: 3283968 |
Author: driftinwind |
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Description: 给出了reliefF算法的matlab源代码，该算法用于处理目标属性为连续值的回归问题。是由relief算法拓展所得，可以处理多类别问题。-ReliefF algorithm matlab source code is given, and the algorithm is used for processing target attribute is continuous values of regression problems.By expanding income relief algorithm, can deal with many categories.
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Size: 8192 |
Author: 李斌 |
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Description: 主要完成图像特征出提取，包括5个特征选择算法：SFS，SBS，SFBS-Description The DEMO includes 5 feature selection algorithms:
Sequential Forward Selection (SFS)
Sequential Floating Forward Selection (SFFS)
Sequential Backward Selection (SBS)
Sequential Floating Backward Selection (SFBS)
ReliefF
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Size: 3284992 |
Author: fuhuan |
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Description: 使用MATLAB，ReliefF算法应用于特征提取，适用于shp属性数据。-Using MATLAB, the ReliefF algorithm is applied to feature extraction and is suitable for SHP attribute data.
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Size: 2509824 |
Author: danial |
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Description: 最小冗余最大相关性（MRMR）（MRMR.M）
需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱
偏最小二乘（PLS）回归系数（ReGCOEF.m）
使用MATLAB统计工具箱中的PLSReress
ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.）
从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。
ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。
费雪评分（Fisher评分）
围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m)
Needs external library. See mRMR.m for details.
Download a newer version of the mutual information toolbox
Partial Least Squares (PLS) regression coefficients (regCoef.m)
Uses plsregress.m from MATLAB statistics toolbox
ReliefF (classification) and RReliefF (regression) (relieffWrapper.m)
Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards.
Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation.
Fisher Score (fisherScore.m)
Wraps around fsFisher.m from the ASU Feature Selection toolbox)
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Size: 11264 |
Author: smilingcost |
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