搜索资源列表
ga
- 基于遗传算法和距离的特征选择，用于人工智能和模式识别，进行降维-Distance based on genetic algorithms and feature selection for artificial intelligence and pattern recognition, dimensionality reduction
PCA-and-MatlabCode
- 主成分分析法实现特征选择，里面有非常详细的算法介绍，还有一个现实实例介绍，非常具象，里面贴有实现算法的matlab代码-Principal component analysis （PCA）to achieve feature selection , which has a very detailed descr iption of algorithms , there is a real example to illustrate , very concrete , which is affix
A-Survey-of-Feature-Selection
- 对特征选择方法的发展历史和现状进行了跨学科的广泛调研，在此基础上总结提出了通用的方法定义和算法流程框架-A unifring approach to the definition of the feature selection problem and corresponding algorithm design framework are proposed based on a complete survey of a wide range of interdisciplinary res
RBF_OLS
- 利用RBF神经网络通过剪枝算法实现特征选择，训练时采用正交最小二乘方法-RBF feature selection algorithm with gradient decending method
pso_featsel2
- 这是一个粒子群算法（PSO）用于特征选择的matlab函数，用户可以自由选择目标函数优化方向、种群大小、迭代次数等等。-this is an feature selection program with particle swarm optimization of matlab ,you can chose the Function optimization direction the scale of the swarm and the number of the iteration
qpso_featsel2
- 这是一个基于量子行为的粒子群算法（QPSO）用于特征选择的matlab程序，用户可以选择目标函数优化方向、种群大小，也可以在内部修改QPSO的参数beta-this is a feature selection program based on quantum_behaved particle swarm optimization of matlab ,the user can chose the object function optimization direction,the scale
Pattern-Recognition_MATLAB_1
- 线性分类器设计，1_k近邻法，剪辑法，ANN-BP神经网络法，聚类分析法，特征选择，特征提取等模式识别常用算法，内有matlab可运行实现，还有word文档的说明。对于学习，是做好的资料。-Commonly used algorithm for linear classifier design the 1_k nearest neighbor, clip, ANN-BP neural network method, cluster analysis, feature selection, fea
spider
- 机器学习matlab源代码，包括多分类SVM，模式识别，特征选择，回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with
ga1
- 遗传算法用于模式分类的特征选择。以minstall数据库为例，介绍了详细应用例程。-Genetic algorithm for pattern classification feature selection. Minstall database, for example, describes in detail the application routines.
MainEigenvectorsSelectionInMIMO
- 该资料给出了一种基于特征空间的MIMO天线选择算法，并给出了详细的算法描述，及仿真结果。-The information gives a antenna selection based on main eig envectors of CSI, and gives a detailed descr iption of the algorithm, and simulation results
Based-onSVM-target-tracking
- 计算Haar小波特征，用AdBaoost提取部分有代表性的特征共三种特征选择方法与SVM相结合进行目标跟踪的算法。 -The calculated Haar wavelet features to extract some of the typical characteristics of three feature selection method combined with SVM algorithm for target tracking AdBaoost.
AdaBoost_TrainData
- 这份代码是使用haar+adoboost做人脸检测用的，文件中还包括其他的特征选择，特征提取的算法，对于想做人脸检测这一块的朋友，可以下载来研究。-This code is used haar+adoboost human face detection, the document also includes other feature selection, feature extraction algorithm for face detection which one wants a frie
Feature-selection-
- 基于基因遗传算法的特征选择程序 高喊制图功能,直接给出匹配耦合-Feature selection based on GA in Matlab
Oil-spill-detection
- 基于SAR的溢油检测算法，对特征提取并进行特征选择。-Oil spill detection algorithm based on SAR, the feature extraction and feature selection.
Single-Pass
- 改进Single-Pass聚类算法,包括分词、tfidf计算、卡方检验特征选择-Improved Single-Pass Clustering Algorithm
GA
- matlab中编的基于遗传算法的转子故障特征选择的小程序，新手程度，仅供参考-matlab in the series based on genetic algorithm rotor fault feature selection of small programs, novice level, for reference only
csvs
- 基于改进差分演化算法的石油层评价指标的特征选择-Feature improved oil layer evaluation based on differential evolution algorithm choice
system
- Java技术调用Weka中新开发的算法设计实现了一个基于上述特征选择和规则提取的在线数据挖掘分类系统，可实现数据的自动分类、数据规则提取以及数据预测等功能，满足用户通过Web实现在线规则提取、数据类别预测等数据挖掘需求。-depending on weka ，attribute selection classification
wajue222
- 针对实际幵发的一个客户关系管理系统,在开发与研究的过程中结合 数据挖掘技术对其中的数据进行了一些离散化、特征选择等预处理 在对数据 进行预处理的过程中对FCBF (Fast Correlation-Based Filter,基于快速的筛选/ 过滤)算法做了改进,改进后的算法能更好的对数据进行特征选择 -The actual concurrency and a customer relationship management system, combined with th
PSO_TSP
- 利用PSO算法解决下面问题： （1） 函数优化； （2） TSP问题； （3） 属性特征选择；-Use PSO algorithm to solve the following problems: (1) Function Optimization (2) TSP problem (3) property feature selection