搜索资源列表
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
- 该程序是基于特征选择与特征提取的检测算法,可以将已分类的数据集中的边界数据检测出来，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
- 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
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
drtoolbox-Matlab
- MATLAB特征选择与降维工具箱，内含34种特征降维方法，从作者的博客主页下载，代码完整，附中英文的相关说明。-Matlab Toolbox for Dimensionality Reduction
wrappers
- 文档中是有关于数据挖掘中的wrapper特征选择法（sequential feature selection）的详细资料。-The document is about the wrapper feature selection method (aka sequential feature selection).
Feature_selector_Matlab
- 基于粒子群算法的特征选择运算，可以提选出对分类有较大贡献率的特征-Based on Particle Swarm feature selection operations may elect to raise the contribution rate of a larger classification features
relief
- Relief特征选择算法最初由Kira和Rendell于1992年提出的一种著名的多变量过滤式特征选择算法，它也是一种基于样本学习的特征权重计算算法-Relief is a kind of feature weighting algorithm, which gives different weights according to the relevance of features and categories
Association-rules
- 用关联规则分析泰坦尼克存活人员特征,特征选择和存活率- Association rules
tezheng
- 面向文本分类的特征选择方法，java语言开发-Feature selection method for text classification, java language development
FEAST-v1.1.4
- 特征选择工具箱，用于数据特征提取，数据降维包括mRMR等-feature selection toolbox,MItoolbox
FCBF
- 本代码是FCBF的源代码，用于处理连续型属性的特征选择，先将连续型属性值离散化，再筛选-This code is FCBF source code for handling continuous attributes feature selection, the first continuous discrete attribute values, re-screened
FeatureChoose
- 文件中是特征选择，选择的方法用的是分支限界法，并且还包涵分支限界法的PPT讲解。非常详细，结果也非常准确-File is feature selection method chosen by the branch and bound method, and also encompass branch and bound method PPT explain. Very detailed, very accurate results
基于子空间的人脸识别算法
- 基于Adaboost的人脸检测方法的特征选择和扩展，多视角人脸检测和人脸跟踪算法集成,还包括了基于主动形状模型/主动变现模型/盖博变换特征的人脸描述
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.
Relief
- Relief算法是一种特征权重算法,可以用于特征选择-Relief algorithm is a feature weighting algorithm，which can be used for feature selection
FEAST
- 特征选择matlab程序, 由多种特征选择算法组成，可根据需要进行选择-Feature selection matlab program, which composed by a variety of feature selection algorithm
weka
- 机器学习调用weka的jar包实现的源码，包含朴素贝叶斯,决策树,ID3,以及特征选择的源码，数据集使用weka的数据集，需要使用arff文件读入。-Weka machine learning to call the jar package implements the source, including Naive Bayes, decision trees, ID3, and features selected source dataset weka data set, you need t
ACO-feature-selection
- 蚁群优化算法，可用于特征选择，适用于模式识别-Ant colony optimization algorithm can be used for feature selection for Pattern Recognition