搜索资源列表
C45Driver
- c45决策树改进算法,主要用于数据挖掘中的聚类分析。对从事dm研究的人应该有用-C45 Decision Tree Algorithm, mainly for data mining of cluster analysis. Dm engaged in research should be useful
weka402
- < 数据挖掘--实用机器学习技术及java实现> 一书结合数据挖掘和机器学习的知识,作者陈述了自动挖掘模式的基础理论,并且以java语言实现了具有代表性的各类数据挖掘方法.例如:classifier中的ZeroR.OneR.NaiveBayes.DecisionTable.IBK.C45,还有聚类,数据预处理等.
myMatlabfenlei
- matlab关于数据挖掘分类的算法,id3,c45,cart,sliq,调试运行成功,推荐下载,-Matlab on the classification of data mining algorithms, id3, c45, cart, sliq. Debugging successful operation, recommended download,
fp
- 数据挖掘c45分类算法 数据挖掘c45分类算法
weka
- :<<数据挖掘--实用机器学习技术及java实现>>一书的配套源程序,结合数据挖掘和机器学习的知识,以java语言实现了具有代表性的各类数据挖掘方法.例如:classifier中的ZeroR.OneR.NaiveBayes.DecisionTable.IBK.C45,还有聚类,数据预处理等-: lt; Lt; Data Mining -- Practical Machine Learning Technology and java achieve gt; Gt; A ma
java数据挖掘算法
- java数据挖掘算法,里面有c45,chc,fss,id3,nb等方面的算法,及相关源代码-data mining algorithms, and they C45, CHC, FSS, id3, nb areas of algorithms, and related source code
naive bayes algorithm
- c45算法介绍
C4_5.rar
- 决策树C45,用matlab编写的,数据挖掘算法。,Decision Tree C45, prepared by matlab, data mining algorithms.
C45.rar
- C4.5决策树的应用,c45是数据挖掘中重要的决策工具,C4.5 decision tree application
c45
- 用matlab编程实现的数据挖掘c4.5算法,是上交的一个作业,绝对可行的。当然,还有些小瑕疵-Matlab programming with data mining c4.5 algorithm, is handed a job, absolutely feasible. Of course, there are some small flaws
C45_VC
- 大家来看看吧,数据挖掘的经典算法c45,VC编写-Check it out we look, the classic data mining algorithms c45, VC preparation
c45
- 机器学习算法中的C45算法,JAVA机器学习研究项目之一-Machine learning algorithm in the C45 algorithm, JAVA, one of machine learning research project
C4.5
- 数据挖掘中的c45,决策数算法,是数据挖掘中最经典的算法之一-it s used for data mining
C45
- this document contains information about c4.5 machine learning algorithm
NeC45
- 利用经典的C45算法实现特征集成选择,获得集成树分类规则-Use NeC4.5 to generate classification trees.
c45
- c45 经典算法,JAVA 实现,很有参考性-the c45 classic algorithm, JAVA implementation
java
- 本人搜集并调试无错的 关于数据挖掘算法,JAVA 实现,里面包含测试数据集,apriori 算法2个,FP-TREE 一个,FP-GROWP 2个 聚类1个、CLUSTREAM 一个,C45、ID3 等,下载后在相应文件夹中有 部分测试数据集合-I collect and debug error-free data mining algorithms, JAVA realization, which contains a set of test data, apriori algorithm 2
spider20060724
- 机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树(C45,J48)、svm、knn、adaboost、bagging、hmm(隐马尔科夫模型)、随机树(random forest)等-Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidd
C45
- c 4.5 abdurahem java source file
C45
- Visual basic program use for clasification data minning with C45 algorithm