搜索资源列表
clustering
- 将Weka数据挖掘工具所产生的K-MEANS和DBSCAN结果转化成MATLAB可输出三维图像的格式
call_weka_in_matlab
- This example demonstrates how to use WEKA s SVMs classifier in Matlab.
SingleClassifierEnhancer
- wonderfull sourcne code for weka tools mential
WEKA_model_Matlab
- The code can create a model by calling the WEKA tool in matlab. The input file should be in .arff format
spider
- matlab与weka的转换代码，很有用-matlab and weka conversion code, very useful
Learning-weka
- Weka based algorithms for clustering purposes
WLSVM_weka
- it is wlsvm with weka + matlab
numeric-datasets
- 37回归问题的数据集包，这是个jar包，用于weka数据挖掘平台-37 regression data sets package, which is a jar package for weka data mining platform
createWekaInput
- converts data to weka format
Weka-In-Matlab-Sample-Code
- This code for use weka in Matlab -This is code for use weka in Matlab
RunWekaFromMATLAB
- 从matlab中调用weka功能，实现两类的连接使用。-Weka from matlab function call, the realization of two types of connection.
ParallelWeka
- Parallel Weka Algorithm
trees
- weka中的决策树分类算法，REPTree，RandomTree，RandomForest(Decision tree classification algorithm in Weka, REPTree, RandomTree, RandomForest)
FNNPSOGSA
- source weka with matlab
feature-selection-master
- 最小冗余最大相关性（MRMR）（MRMR.M） 需要外部库。详情请见MRMR。下载一个更新版本的互信息工具箱 偏最小二乘（PLS）回归系数（ReGCOEF.m） 使用MATLAB统计工具箱中的PLSReress ReliefF（分类）和RReliefF（回归）（ReleFracePr.M.） 从Matlab STATS工具箱中包装Releff.m。这是Matlab R2010B以后提供的。 ReliefF的另一个选择是使用ASU特征选择工具箱中的代码。这使用WEKA
RUSBoost
- 使用matlab调用weka示例代码, 其中使用了boot算法(use matlab to call weka)