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featureselection
- 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！
featureselection
- 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!
featureselection
- 基因算法实现的特征提取，实现平台是matlab-feature selection with genetic algorithm
featureselection
- sbs和sfs特征提取的MatLAB源代码用于多维向量提取最优-sbs Feature Extraction
featureselection
- feature seletion的几篇英文论文 采用pso等进化算法实现特征选取
featureselection
- pearson feature selextion
featureselection
- 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.
featureselection
- 特征选择方法,matlab实现增 l减 r法 顺序后退法 SFFS 特征选择 顺序前进法特征选择-feature selection
FeatureSelection
- this file contains ppt on feature selection
FeatureSelection
- Feature Selection using Matlab. The DEMO includes 5 feature selection algorithms: • Sequential Forward Selection (SFS) • Sequential Floating Forward Selection (SFFS) • Sequential Backward
FeatureSelection
- 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
featureSelection
- 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 subscr ipt.
featureselection
- 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.
FeatureSelection
- 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
FeatureSelection
- 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
featureSelection-master
- Feature subset selection
FeatureSelection
- 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 descr iption)