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sample
- 一个数据挖掘算法partition的sample 是读者更开的理解partition -sample
KMEANS
- 数据挖掘中的经典聚类算法，常用于异常值检测-Data Mining in a classic clustering algorithm, commonly used in the outlier detection
K-value
- 综合了数据挖掘的均值算法和中值算法，带有一个小的测试数据集合-data mining algorithm intergrated
IncrementalAl
- 增量数据挖掘算法的经典文章，包括ＨＡＮ，ＪＷ的论文．所有文件均为ＰＤＦ文件．英文文档居多，都是科技文献付费下载，外网难寻，仅供学术研究参考用．-fptree Paper
eclat
- 数据挖掘算法实现,学习这门课的同学可以参考啊-DataMining implements
bayesian1
- 用贝叶斯算法解决数据挖掘中分类问题，先用训练集进行训练，再用测试集进行测试-Bayesian data mining algorithm to solve classification problems in the first training set used for training, re-use test set for testing
bayesian1
- 实现数据挖掘的关联规则贝叶斯算法，打开可直接运行-Data mining association rules Bayesian algorithm can be directly run to open
DecisionTree-id3
- 商业只能中数据挖掘的决策树算法 用于数据分类-Data Mining Decision Tree Algorithm
KMEANS
- K-Means动态聚类算法源程序 在数据挖掘中的应用-K-Means dynamic algorithm source data mining application
fp_tree
- 用C语言实现的数据仓库中的数据挖掘算法的一段代码 带有详细的注释-Using C language in the data warehouse data mining algorithms with a detailed section of code Notes
The-text-data-about-data-mining-algorithms
- 文本数据的数据挖掘算法:对大量存在的文本数据，用已有的结构化数据挖掘技术，提出了非结构化数据知识发现方法。-The text data about data mining algorithms
Release
- 分析流数据的数据挖掘算法，以及一个流数据的模拟产生器。-Analysis of the data stream of data mining algorithms, as well as a stream of data analog generator.
DMST
- 这是一个数据挖掘决策树算法示例，它能通过用户指定相应的数据库，并把数据库表中的最后一列当作决策属性，这样就可以生成一颗完整的决策树-This is a decision tree data mining algorithm for example, the user can specify the appropriate databases and database tables in the last column as a decision attribute, so that you ca
apriori
- 数据挖掘中关联规则挖掘的apriori算法实现-apriori
Apriori
- 本程序为经典的数据挖掘算法，用于挖掘关联规则的apriori算法。-This procedure for the classical data mining algorithms for the apriori algorithm for mining association rules.
hierarchicalcluster
- 和同学一起写的层次聚类算法，数据挖掘的第3次大作业，有设计文档，有注释，下载即可运行。希望批评指正-And students to write with hierarchical clustering algorithms, data mining, the 3rd largest operations, with some design documents, with annotations, download to run. Want to criticize the correction
kmeans
- 这是用C++编写的数据挖掘的聚类算法。算法中使用了链表结构做为存储数据的容器。-It is written in C++, data mining clustering algorithm. Algorithm is used to store data as a linked list structure of the container.
ID3
- ID3算法是数据挖掘中的决策树算法之一，它是最重要的决策树算法-ID3 algorithm is data mining is one of the decision tree algorithm, which is the most important decision tree algorithm
DecisionTree
- 是基于c#开发环境实现的决策树算法。该算法是数据挖掘人工智能的非常重要的算法。-C# development environment is based on decision tree algorithm implementation. The algorithm is very important to artificial intelligence data mining algorithms.
zuheshuxue
- 组合数学的教程，对做数据挖掘算法非常有用的一个-Math tutorial on data mining algorithms do a very useful stuff