搜索资源列表
Rough-Set
- 学习粗糙集理论的基础，有关于粗糙集的文献，便于更好理解-Learn basic rough set theory, rough set about literature, for better understanding
knn_java
- java写的k最邻近算法，是数据挖掘的基本算法之一。-Java write the k nearest neighbor algorithm, is one of the basic algorithm of data mining.
xitongbianshi
- 最小二乘法系统辨识 包括基本最下二乘、递推最小二乘、广义、增光最小二乘等等。-Least squares identification system including basic two multiplication, recursive least squares, generalized least squares, credit and so on.
C45
- Visual basic program use for clasification data minning with C45 algorithm
Tiki-5-Okt
- Visual Basic data mining program
apriori
- Apriori algorithm是关联规则里一项基本算法。是由Rakesh Agrawal和Ramakrishnan Srikant两位博士在1994年提出的关联规则挖掘算法。关联规则的目的就是在一个数据集中找出项与项之间的关系。 文件中为实现Apriori算法的matlab函数-Apriori algorithm in association rules is a basic algorithm. By Rakesh Agrawal and Ramakrishnan Srikant Dr
build_a_decision_tree_base_CART.tar
- 这里是最基本的决策树实现的python方法，有详细的代码说明-Here is the basic method of decision tree python to achieve, a detailed code Descr iption
DecisionTree
- 本程序是利用python写的一个决策树算法，通过该例子可以实现简单的决策树处理，也可以学习决策树算法的基本思想。-This procedure is to use python to write a decision tree algorithm, this example can be achieved by a simple decision tree processing, you can also learn the basic idea of the decision tree alg
SVM-introduction
- SVM浓缩讲稿，精简地介绍了svm的基本概念和理论，有助于新手理解和学习。-SVM speech introduces the basic principles and core concepts SVM to help the novice to learn and understand.
examples
- R 语言的一些基本的例子和机器学习的例子-Some basic examples of R language and examples of machine learning
ex3-003(Week4)_finished
- week4 百度大牛NG的机器学习教程 文档以及程序代码，对于初学者很有帮助，有助于理解分类聚类等基本的机器学习方法-week4 Baidu Daniel NG machine learning tutorial documentation and program code, useful for beginners, help to understand the basic classification clustering of machine learning methods
ex4-003(Week5)_finished
- week5 百度大数据实验室NG的机器学习教程，包括文档以及代码，有些基本的分类聚类的机器学习算法，很有帮助-week5 Baidu large data laboratory NG machine learning tutorials, including documentation and code, some basic classification machine learning clustering algorithm helpful
ex5-003(Week6)_finished
- week6 百度大数据实验室NG的机器学习教程，包括文档以及代码，有些基本的分类聚类的机器学习算法，对于初学者很有帮助-week6 Baidu large data laboratory NG machine learning tutorials, including documentation and code, some basic clustering classification machine learning algorithms, very helpful for beginne
A-new_cluster_algorithm
- 2014年 6 月份，Alex Rodriguez 和 Alessandro Laio 在 Science 上发表了一篇名为《Clustering by fast search and find of density peaks》的文章，为聚类算法的设计提供了一种新的思路。虽然文章出来后遭到了众多读者的质疑，但整体而言，新聚类算法的基本思想很新颖，且简单明快，值得学习。-June 2014, Alex Rodriguez and Alessandro Laio on Science publis
cf
- 现在比较常用的一种传统的协同过滤算法，用于个性化推荐 最基础的-Now more commonly used as a traditional collaborative filtering algorithms for the most basic personalized recommendation
Mereotopology
- 一篇介绍Mereotopology的论文，介绍Mereotopology的基本概念和广义粗集表示方法-An introduction Mereotopology paper introduces the basic concepts and Mereotopology generalized representation of rough set
Apriori
- 实现基本的Apriori算法，可以实现数据关联规则的挖掘处理，进行分类预测-To achieve the basic Apriori algorithm can handle data mining association rules, classification and predication
cankao
- 基本属性约减文档 基本属性约减文档 -Save the document about the basic properties of the basic properties about the basic properties about the document Save Save document Save document about the basic properties
FPGrowth
- FpGrowth算法的Java完整实现，可用于改进到分布式环境，自制基础数据文件后结果可生成-Results can generate a full implementation of Java FpGrowth algorithm that can be used to improve the distributed environment, homemade basic data files
Part1
- 实现了500篇纽约时报新闻的数据挖掘，包括数据预处理、基本数据统计等-Achieved 500 New York Times news data mining, including data preprocessing, basic data statistics, etc.