Description: 提出了一种雷达目标特征提取方法，实验仿真表明识别效果良好！-A radar target feature extraction methods, simulation experiments show that the identification of good results! Platform: |
Size: 484352 |
Author:范威 |
Hits:
Description: 模式分类中的特征选择,希望大家可以参考一下.-Pattern Classification in feature selection, hope that we can reference. Platform: |
Size: 5120 |
Author:王学林 |
Hits:
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 Platform: |
Size: 3283968 |
Author:driftinwind |
Hits:
Description: 一种对于文本的特征选择方法集合。对于txt数据，建立索引之后，提取其中词语的一些统计特性，包括tf,df,tf-idf,tv,tc等等，并将结果存储在数据库之中。-For txt data, index, the extract some of the words in the statistical properties, including tf, df, tf-idf, tv, tc, etc., and the results being stored in a database. Platform: |
Size: 2484224 |
Author:LQR |
Hits:
Description: 利用保留交叉验证(hold-out)的特征选择，有筛选排序的功能，并最终可以输出对应特征下标。-The use of cross-validation reserved (hold-out) feature selection, there is sort of filtering function, and eventually you can output the corresponding feature subscript. Platform: |
Size: 14336 |
Author:lixiao |
Hits:
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. Platform: |
Size: 2509824 |
Author:danial |
Hits:
Description: 模式识别中基于可分离性判据的特征选择的matlab实现的源码及注释-In the pattern recognition based on feature selection of separability criterion of matlab source code and annotations Platform: |
Size: 1024 |
Author:gain |
Hits:
Description: 为一个matlab的一个线性回归的例子，有测试集和训练集-For a matlab of a linear regression example, there are test sets and training sets Platform: |
Size: 300032 |
Author:李丽丽 |
Hits:
Description: 主要用于特征的选择与提取，评估及特征空间描述(It is mainly used for feature selection and extraction, evaluation and feature space description) Platform: |
Size: 6144 |
Author:夕&雾
|
Hits:
Search - FeatureSelection