搜索资源列表
Eclat
- Eclat算法的平凡模式挖掘。对于相应的数据进行挖掘并显示出来。-failed to translate
ID3_java
- This algorithm is mainly aimed at the 这个算法主要是针对于数据挖掘中的ID3算法的实现和比较,其结果主要是对于整个的数据挖掘功能分析和设计。-This algorithm is mainly aimed at the implementation and comparison of ID3 data mining algorithms, the result mainly of the entire data mining analysis and desi
e6a7688fab01
- 数据挖掘和实现,apriori算法源代码的实现,使用java语言进行编译。-Data mining and implementation, apriori algorithm source code implementation using java language compiler.
javaKNN
- java KNN 算法源码: 邻近算法,或者说K最近邻(kNN,k-NearestNeighbor)分类算法可以说是整个数据挖掘分类技术中最简单的方法了。所谓K最近邻,就是k个最近的邻居的意思,说的是每个样本都可以用她最接近的k个邻居来代表。 kNN算法的核心思想是如果一个样本在特征空间中的k个最相似的样本中的大多数属于某一个类别,则该样本也属于这个类别,并具有这个类别上样本的特性。该方法在确定分类决策上只依据最邻近的一个或者几个样本的类别来决定待分样本所属的类别。 kNN方法在类别决策
Aprior
- 数据挖掘中的Apriori算法。采用java语言实现,文件输入,生成频繁项集-Data Mining Apriori algorithm. Using java language, file input, generate frequent item sets
K_average
- 数据挖掘中聚类算法的K_均值算法,采用文件输入数据形式,找到相关聚类-Data mining clustering algorithm K_ means algorithm, using the form input data file, find the relevant clustering
gsp
- 数据挖掘序列模式挖掘中的一个经典算法,GSP算法。-A classical algorithm in data mining sequential patterns mining, GSP algorithm.
pre
- 用java编写的前缀树挖掘算法源代码,包括6个java源文件及编译文件,数据文件,输出结果txt文件-Prepared using java prefix tree mining algorithm source code, including six java source files and compiled files, data files, the output txt file
MyApriori
- 使用Apriori算法进行关联规则挖掘,数据文本格式参阅例子文件夹-Association rule mining with Apriori
Prime14
- 数据挖掘中的关联算法FPtree在Java中的实现,能挖掘出数据集中的频繁模式-Data Mining association algorithm FP tree in Java to achieve, and can dig out the data set frequent pattern
C4.5
- 数据挖掘 决策树算法 C4.5 JAVA编程实现 GUI界面显示决策树的分析结果-DataMining decision tree C4.5 in java code GUI interface to show the result of decision tree
K-Means
- 本人上传的源代码用于实现数据挖掘领域中中的分内算法,K-means算法,算法的分割结果比较准确,是你的绝佳选择-I upload source code for implementing data mining in the field since the beginning of the algorithm, the segmentation result K-means algorithm, the algorithm is more accurate, you are a great ch
Apriori-master
- 数据挖掘中关联规则apriori算法的实现,可运行-Data mining association rules apriori algorithm can be run
Decision-tree-algorithm
- 数据挖掘,机器学习经典分类算法,决策树算法ID3 C4.5 Java实现 开发环境 eclipse-Data mining, machine learning classic classification algorithm, decision tree algorithm ID3 C4.5 Java development environment eclipse
associatiton-rule-based-classifier
- 关联分类器的java源码,首先根据apriori算法挖掘所有的频繁项集,然后选择可用的分类规则,然后对未知实例进行分类。包含测试程序与测试数据- U5173 u804 u5206 u7C7B u5668 u7684 u7981 u7989 u989 u989 u989 u989 U7136 u5409 u0910 u0910 u7R09 u5B0 U542B u6D4B u8BD5 u7A0B u5E8F u4E0E u6D4B u8B
18670985Apriori
- Apriori算法,可以实现数据挖掘中的关键规则,是一种很重要的算法(Apriori algorithm, which can implement key rules in data mining, is a very important algorithm)
apriori
- Python实现的apriori算法,数据挖掘的基础算法(Apriori algorithm implemented by Python)
C4.5
- python实现的C4.5算法,也是数据挖掘的基础算法(C4.5 algorithm implemented by python, which also the basic algorithm of data mining)
rseslib-3.0.4-src
- 包含很多知名算法实现,支持向量机,决策树,粗糙集,贝叶斯分类器等,适合学术研究,短评论意见挖掘,文本分类等(It includes many well-known algorithm implementation, support vector machine, decision tree, rough set, Bias classifier, etc., which is suitable for academic research, short comment mining, text c
knn
- 数据挖掘与机器学习之knn算法原理实例。(An example of the principle of data mining KNN algorithm)