搜索资源列表
Relief
- 利用距离求解的特征选择算法，针对两类问题的Relief算法-feature selection
tmsvm_for_win_1.2.0
- window下的文本分类工具tmSVM，该系统在封装 libsvm 、 liblinear 的基础上，又增加了 特征选择 、 LSA特征抽取 、 SVM模型参数选择 、 libsvm格式转化模块 以及一些实用的工具。-Text categorization tool tmSVM under the window, the system on the basis of encapsulation libsvm, liblinear, added feature selection, LSA fea
static_LDA_mean_var
- MATLAB代码，利用LDA和相应的特征选择对数据进行分类-MATLAB code, use LDA and the corresponding feature selection data classification
static_K_kendell_mean_var
- MATLAB代码，利用K近邻法并使用相应的特征选择对数据进行分类-MATLAB code, the use of K-nearest neighbor method and use the appropriate feature selection data classification
Relief
- relief特征选择算法，代码有详细的中文解释，并且有实例验证。-relief algrithm,it include chinese expression and examples
BaB
- 特征选择，提取的一种算法，B and B算法的简单描述-An algorithm of feature selection and extraction
Fisher-Score
- 机器学习算法， 使用Fisher score进行特征选择。-Machine learning algorithms, feature selection using Fisher score.
Bpes
- Bpes是基于特征提取和特征选择的算法，多用于已分类的数据集中的边界数据的检测，对于边界数据中的未分类数据及模糊数据具有很好的检测效果。可适用于分类器的构建。-Bpes is based on the feature extraction and feature selection algorithms, used to have more classification, the data of the boundary of the data set of unclassified data
gmdh_feature_select
- 本程序是一个基于matlab的特征选择程序，可以用于预测方面，实现效果不错-This procedure is a feature selection based on matlab program that can be used to predict aspects of implementation effect is good
pluslr
- 使用了MATLAB对信号进行特征选择，使用的信号有图像信号，一维信号等。对学习信号特征有参考价值。-Using the MATLAB signal for feature selection, use of image signal of the signals, and the one dimensional signal, etc.Characteristics of learning signal has a reference value.
光流法运动估计OpticalFlow
- 利用openCV，首先得到图像中的强边界作为跟踪的特征点，调用函数，输入两幅连续的图像，并在第一幅图像里选择一组特征点，输出为这组点在下一幅图像中的位置。再把结果过滤，去掉不好的特征点。把特征点的跟踪路径标示出来。(Using openCV, we use goodFeaturesToTrack function to get strong edges in the image as the feature point tracking, next to call calcOpticalFlow
grayco
- 用3*3邻域计算每一个像素的灰度共生矩阵并计算对应的特征参数，最后再选择特定目标区域内的像素，计算在目标区域内的像素所对应的特征参数的均值和方差(Calculation of characteristic parameters of each pixel gray level co-occurrence matrix and calculate the corresponding 3*3 neighborhood, then select the specific pixels within t
ga_SVM_1
- 结合遗传算法和SVM，实现特征选择和SVM参数优化同时进行(Combining genetic algorithm and SVM, feature selection and SVM parameter optimization are carried out simultaneously)
粒矩阵属性约简的启发式算法
- 基于矩阵的运算， 属性约简，特征选择，能够快速的找出最小约简属性子集(Boolean matrix attribute reduction Matrix based operations, attribute reduction and feature selection can quickly find the minimal reduct subsets)
PCA_Monitoring
- PCA（principle component analysis）算法，可用于特征选择等，希望有帮助(principle component analysis)
pca
- 该脚本可以用于降维或者特征选择，名字为主成分分析。(Dimensionality reduction)
极限学习做特征选择思路1
- 极限学习机是一个快速的但因曾神经网络学习算法(Extreme learning is a fast learning method)
MoravecPoint
- 利用moravec算子实现图像的点特征提取，效果基于阈值的选择(The Moravec operator is used to extract the point feature of the image, and the effect is based on the selection of the threshold.)
randomforest.R
- R 语言 随机森林分类特征选择，打分特征重要性(R language random forest feature selection importance)
conlainmynrprofile
- 特征选择算法的改进．．．比较实践证明是个优秀的算法()