搜索资源列表
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
SVMRFE
- svm的一种特征选择方法,基因选取算去,减少特征数量,减少运算时间,也可提高运算精度-svm a feature selection method, gene selection operator to reduce the number of features to reduce the computation time, but also can improve the calculation accuracy
Lasso
- :Lasso 是一种基于一范式的特征选择方法。与已有的特征选择方法相比较,Lasso 不仅能够准确地选择出与类标签强相 关的变量,同时还具有特征选择的稳定性,因而成为人们研究的一个热点-: Lasso is a paradigm based on a feature selection method. Compared with the existing feature selection methods, Lasso not only to accurately select a stro
pgbm_v130618
- 采用点门限玻尔兹曼机实现对图像的自动特征提取以及特征选择。-Point-wise gated boltzmann machine was adopted to realize automatic feature extraction and feature selection of images.
mrmr_c_src
- 最大相关最小冗余特征选择方法的源代码,对于机器学习,数据挖掘很有用。-The maximum correlation minimum redundancy feature selection method of the source code for machine learning, data mining useful.
code-Feature-Selection-using-Matlab
- 一种基于matlab的神经网络编码特征选择。特征点提取。-Based on neural network matlab coding feature selection. Feature point extraction.
entropy
- 采用熵值法求特征分量的权重,一般可用于特征选择与特征提取-Entroy algorithm ia used to be calculate the weight of each element,and is helpful in the selection and extraction of features
FCBF
- 这是FCBF的matlab程序。FCBF是比较实用的特征选择和降维的方法。在这个文件里面,有个word文件详细说明了FCBF的使用方法。本站只有FCBF的java程序。-This is a matlab program of FCBF. FCBF is a more practical method of feature selection and dimensionality reduction. Within the file, a word file detailed deccribed
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
feature-selection
- 对特征选择与提取进行介绍,及几个特征提取方法简介-For feature selection and extraction are introduced, and several feature extraction methods Introduction
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
feature-selection-l2p
- 利用矩阵l2p范数来做特征选择的最新文章。-A unified algorithm for mixed l 2,p-minimizations and its application in feature selection
CaiDengcode
- 浙大蔡登,何晓飞写的降维,特征选择等机器学习的源码 包括:谱回归,降维,特征选择,主题模型,矩阵分解,稀疏编码,哈希,聚类,主动学习,矩阵学习。 是一个很好的机器学习源码资料。-cCaideng s code for Machine learning,include Spectral regression : (a regression framework for efficient dimensionality reduction) Dimensionality reduct
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
t-test-F-statistics
- t-test 和F-statistics在特征选择中的应用-t-test and F-statistics in feature selection
class
- 中文文本分类可以对已经分好词的文本进行分类,先自己导入数据,用libsvm中的svm进行分类和预测,特征用tfidf算法,还利用卡方检验进行了特征选择,可自行设定阈值-text mining
bearrecogmethod
- 模式识别方面的文章,非常有用,特征选择和分类方法都比较新。-pattern recogniziation paper,it is helpful for image processing coder.
feature_selection
- 特征选择的几篇重要文章,是我硕士论文研究方向的一部分,主要是根据最大相关最小冗余原则进行特征选择-Feature selection of a few important article, is a part of my master s thesis research direction, mainly according to the principle of maximum correlation minimum redundancy feature selection
Relief-feature-selection
- Relief 特征选择算法matlab实现-Relief feature selection