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Description: BP学习算法应用——模式分类
应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类，速度快，精度高。iris.arff为数据库文件，可用Weka数据挖掘软件打开。Iris.csv为源代码读取的数据文件，通过Weka软件转换得到。
将源文件Iris_classify.m和Iris.csv文件放入matlab的work文件夹中直接运行即可。
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Size: 5129 |
Author: Michael_M |
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Description: 马克斯普朗克提供的机器学习程序包，主要是matlab代码，另外也调用了大量的weka代码和libsvm代码
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Size: 6437217 |
Author: De-Chuan Zhan |
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Description: BP学习算法应用——模式分类
应用动量BP学习算法对UCI提供的经典数据库——鸢尾属植物数据库进行分类，速度快，精度高。iris.arff为数据库文件，可用Weka数据挖掘软件打开。Iris.csv为源代码读取的数据文件，通过Weka软件转换得到。
将源文件Iris_classify.m和Iris.csv文件放入matlab的work文件夹中直接运行即可。-BP learning algorithm applications- the application of pattern classification momentum BP learning algorithm to provide a classic UCI database- iris database classification, high speed and accuracy. iris.arff for the database file that can be used to open Weka data mining software. Iris.csv for the source code to read the data files have been converted through Weka software. Iris_classify.m the source document and document Iris.csv Add matlab folder of work can be directly run.
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Size: 5120 |
Author: Michael_M |
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Description: 马克斯普朗克提供的机器学习程序包，主要是matlab代码，另外也调用了大量的weka代码和libsvm代码-Provided by the Max Planck Institute for machine learning package, mainly matlab code, also called a large number of weka code and code libsvm
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Size: 6436864 |
Author: De-Chuan Zhan |
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Description: 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-Weka data mining tools will be generated by K-MEANS and DBSCAN results can be exported into MATLAB three-dimensional image format
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Size: 1006592 |
Author: 王坤 |
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Description: This example demonstrates how to use WEKA s SVMs classifier in Matlab.
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Size: 50176 |
Author: huglepzh |
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Description: 经典的数据挖掘算法的源代码，包括分类、聚类、关联规则等，非常有用。-Classical data mining algorithms of source code, including classification, clustering, association rules and so on, very useful.
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Size: 1103872 |
Author: xq |
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Description: 数据挖掘开源算法最经典的weka算法源码，导入Eclipse就可以打开，包含了几十个经典的数据挖掘算法。-Open source data mining algorithm is the most classical algorithm weka source code into Eclipse, you can open, contains dozens of classic data mining algorithms.
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Size: 5685248 |
Author: 李子文 |
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Description: Matlab interface of weka
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Size: 1233920 |
Author: 王大雷 |
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Description: Use weka in matlab, call all the classifier in weka
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Size: 1024 |
Author: 王大雷 |
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Description: Convinieng tool to use weka in matlab.
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Size: 77824 |
Author: 王大雷 |
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Description: The code can create a model by calling the WEKA tool in matlab. The input file should be in .arff format
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Size: 1024 |
Author: Abdur |
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Description: it is wlsvm with weka + matlab
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Size: 87040 |
Author: fateme |
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Description: java 的weka matlab开发平台，具有综合集成多种图像处理、人工智能等算法-The weka matlab java development platform, integrated with comprehensive variety of image processing and artificial intelligence algorithms
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Size: 65536 |
Author: zhoujuxiang |
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Description: This code for use weka in Matlab -This is code for use weka in Matlab
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Size: 6144 |
Author: Mahla |
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Description: matlab-weka.zip是数据挖掘（data mining）软件包，可以实现matlab与外部接口weka的数据读取。-matlab-weka.zip data mining (data mining) package, can be achieved with external interface matlab weka data read.
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Size: 76800 |
Author: YAN Haifeng |
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Description: 里面含有连续型数据集，离散型数据集以及混合型数据集可以用于属性约简，特征选择等算法的实验仿真。以及直接导入weka软件。(It contains continuous data sets, discrete data sets and mixed data sets, and can be used for the experimental simulation of attribute reduction and feature selection algorithms. And import the Weka software directly.)
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Size: 2085888 |
Author: GG-993
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Description: source weka with matlab
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Size: 44032 |
Author: ahmadshahbaz
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Description: 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工具箱的ReleFEF，因此需要额外的库。请参阅相应的文档。
费雪评分（Fisher评分）
围绕ASFS特征选择工具箱围绕FSFisher。M(Minimum Redundancy Maximum Relevance (mRMR) (mRMR.m)
Needs external library. See mRMR.m for details.
Download a newer version of the mutual information toolbox
Partial Least Squares (PLS) regression coefficients (regCoef.m)
Uses plsregress.m from MATLAB statistics toolbox
ReliefF (classification) and RReliefF (regression) (relieffWrapper.m)
Wraps around relieff.m from the MATLAB stats toolbox. This is available MATLAB r2010b onwards.
Another option for ReliefF is to use the code from ASU Feature Selection toolbox. This uses ReliefF from weka toolbox and hence needs additional libraries. Please see the corresponding documentation.
Fisher Score (fisherScore.m)
Wraps around fsFisher.m from the ASU Feature Selection toolbox)
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Size: 11264 |
Author: smilingcost |
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Description: 使用matlab调用weka示例代码, 其中使用了boot算法(use matlab to call weka)
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Size: 5643264 |
Author: vessalius |
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