搜索资源列表
rosettasoftware
- 一个关于粗糙集的软件,可以直接用,从外面论坛上下的,还可以-one about rough set software,you can use without change
Apriori
- 关联规则挖掘的研究工作主要包括:Apriori算法的扩展、数量关联规则挖掘、关联规则增量式更新、无须生成候选项目集的关联规则挖掘、最大频繁项目集挖掘、约束性关联规则挖掘以及并行及分布关联规则挖掘算法等,其中快速挖掘与更新频繁项目集是关联规则挖掘研究的重点,也是多种数据挖掘应用中的技术关键,已用于分类规则挖掘和网络入侵检测等方面的研究。研究者还对数据挖掘的理论进行了有益的探索,将概念格和粗糙集应用于关联规则挖掘中,获得了显著的效果。到目前为止,关联规则的挖掘已经取得了令人瞩目的成绩,包括:单机环境
RoughSet
- 数据挖掘技术-粗糙集属性约减算法,对其描述以及算法实现!-rough set algorithm
roughset
- 粗糙集属性约简算法,共计52页,包括代码及应用说明,有需要的欢迎下载-Rough set attribute reduction algorithm, for a total of 52, including code and application notes, there is a need to download the welcome
work
- 用matlab语言编的基于粗糙集理论的属性约简程序-matlab roughset
yichuansuanfawenzhang01
- 这是一篇文献,文献题目是:《于粗糙集和遗传算法的数据挖掘方法》-This is a literature, literature entitled: " in the rough set and genetic algorithm data mining"
yichuansuanfawenxian04
- 这是一篇文献,题目是:《基于粗糙集和遗传算法的数据挖掘方法》-This is a document entitled: " Based on Rough Set and Genetic Algorithm Data Mining"
core
- 属性约简是粗糙集理论中的一个重要内容,其核心任务是得到属性集的核。本文提出了一种基于二进制运算 的属性核求解算法,该算法简单直观且易于实现。我们通过设计C语言程序验证了算法的有效性。 -Attribute reduction is considered one of the most important contents of the rough set theory,and core obtai- ning plays an essential role in attribute
daima
- (压缩包里一共有5个代码) pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维,再用lda进行特征提取,得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m),得到离散化矩阵disdata,存入到imagedisdata.mat
KNN
- 一个非常好的粗糙集的代码-希望对大家学习提供参考-Rough set a very good code- I hope to provide reference for all of us to learn
Lambert
- 粗糙集理论与应用进展 粗糙集理论与应用进展-粗糙集理论与应用进展
DMGA_AttRed
- 基于遗传算法的粗糙集属性约简。数据库使用的是ACCESS数据库,编程环境VS2008。-Rough Set Attribute Reduction Algorithm Based on GA
cucaoji
- 粗糙集的简单入门介绍。用于模式识别和属性约简。-Rough set to introduce a simple entry. For pattern recognition and attribute reduction.
DMES
- 支持基于可识别性的经验建模和数据挖掘。它由许多用于通用机器学习和粗糙集理论的例程组成-Support based on the experience of identification in the modeling and data mining. It is used by many general-purpose machine learning and routine composition of rough set theory
reduce
- 采用粗糙集理论利用可辨识矩阵法对属性决策表进行约简-Based on rough set theory, discernable matrix is improved and applied to attributes reduction.
RoughSet
- 可嵌入weka 的粗糙集分类算法程序 -Can be embedded in the rough set classification algorithm weka program
roughsetsandneuralnetworks
- 把粗糙集和神经网络联合在一起的经典的论文资料,结合了粗糙集优秀的简约功能和神经网络强大的自适应功能-The rough sets and neural networks to bring together the classic papers of information, combined with rough set excellent functionality and simple robust adaptive function of neural networks
Dependency
- 基于粗糙集的条件属性对决策属性的依赖度计算函数,简单易用。-Condition attributes based on rough set dependency of decision attribute calculation functions, easy to use.
NRS_FW_FS
- 新加入条件属性对决策属性的依赖度计算函数。基于粗糙集。-The new conditions for accession to the decision attribute attribute dependency calculation functions. Based on rough sets.
ccjzcxlj
- 粗糙集支持向量机的一些文献,希望对大家有用!-Rough set support vector machines some of the literature, hope for all of us!