搜索资源列表
Level set
- Level set methods are a class of numerical algorithms for simulation of dynamic implicit surfaces and approximation of solutions to the Hamilton-Jacobi (HJ) partial differential equation (PDE).
Bayes.rar
- 使用Iris数据集，朴素贝叶斯分类算法。,The use of Iris data set, Naive Bayes classification algorithm.
Expdf.rar
- MATLAB的基础应用及粗糙集理论的基础知识（PDF）,The basis of MATLAB applications and rough set theory based on knowledge (PDF)
k-means-and-cure-in-Iris-Data-Set
- 聚类算法实验,采用两种不同类型的聚类算法:基于划分的聚类方法k-means和基于层次的聚类方法CURE，采用的数据集是：Iris Data Set，数据集中共包含150组数据信息。 材料中有详细的说明文档，具体介绍了算法实现的细节，很容易理解-Clustering algorithm experiment, using two different types of clustering algorithm: Partition-based clustering method k-means
Roughset.rar
- 这是利用粗糙集理论做得最小值约简法代码,值得借鉴,This is the use of rough set theory has done the minimum code Reduction Act, it is worth drawing
Fast attributer eduction
- 粗糙集理论属性约简的例子，基于MATLAB实现,This is the use of rough set theory
RSDA.zip
- 工具箱 (粗糙集数据分析工具箱) matla 中使用 ,Kit (Rough Set Data Analysis Toolbox)
rough-set-reduct
- 粗糙集中用于数据约简的算法的matlab源代码-Rough set theory for data reduction algorithm matlab source code
Bayes_example
- Bayes分类器应用于IRIS数据集的例子-An example of Bayes Classifier applied on IRIS Data Set
rough
- matlab粗糙集课件,共六讲，讲解matlab下如何使用rough sets-matlab rough set courseware, a total of six speakers to explain how to use rough sets under matlab
roughset
- 粗糙集理论的matlab实现代码，计算上、下近似集以及核属性和约简结果-Implementation of rough set theory matlab code to calculate the upper and lower approximation sets and the results of the nuclear properties and some simple
SVM-iris
- 本人用matlab编写的支持向量机的程序，在数据集iris上进行实验，识别效果不错-I have written in with support vector machine matlab program, in experiments on the iris data set, identify good results
roughsetCprograms
- 用c语言编的基于粗糙集理论的属性约简程序-Using c language series based on rough set theory attribute reduction procedures
best
- 关于粗糙集的很好的学习程序，用java编程的-rough set materials using java
roughset
- 粗糙集matlab算法，有属性约简，值约简，规则生成等多种算法。-Neighborhood rough set based feature evaluation and reduction
roughsetattributioncut
- 粗糙集约简的matlab算法,包含了基本的约简算法-Rough Set Theory and matlab algorithm, including the basic reduction algorithm
rough-set
- 粗糙集理论是一种基于对现实世界进行不确定描述的理论,属性约简是粗糙集理论的核心理论之一。对粗糙集理论进行阐述,并给出基于启发式的知识约简算法,最后结合MATLAB程序实例说明了该算法的可行性与有效性。-Rough set theory is based on the uncertainty of the real world is described in theory, attribute reduction is the core theory of rough set theory one
level-set-and-dynamic-implicit
- 水平集方法和动态抽象表面，英文版的，需要的话相信不用翻译-level set methods and dynamic implicit surfaces
Rough-Set-Attribute-Reduction
- 基于粗糙集的特征选择Matlab源程序。-Feature selection based on rough set.
Set
- Represents a data structure that can store certain values, without any particular order, and no repeated values. It is a computer implementation of the mathematical concept of a finite set.