搜索资源列表
UCI
- 这是一个基于weka数据挖掘的实验测试数据集,格式为.arff,里面包含有名词性和数值型的数据集,用于weka挖掘测试.-This is a weka data mining based on the experimental data sets format. Arff. which contains terms and numerical data sets for test mining weka.
XRFFConverter
- Machine Learning Weka 数据变换，给Arff文件加载权值，变换为XRFF文件。
BPclassification
- 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。
projet
- 一个模拟weka的系统，输入文件格式和weka的一样，实现决策树的分析以及通过数据挖掘整理规则集合，很值得新手学习-a simulation system, the importation of files and weka, the same realization of the decision tree analysis and data mining collated by the rules set, is worth lea
UCI
- 这是一个基于weka数据挖掘的实验测试数据集,格式为.arff,里面包含有名词性和数值型的数据集,用于weka挖掘测试.-This is a weka data mining based on the experimental data sets format. Arff. which contains terms and numerical data sets for test mining weka.
XRFFConverter
- Machine Learning Weka 数据变换，给Arff文件加载权值，变换为XRFF文件。-Machine Learning Weka data transformation to Arff file to load the right value, transform paper to XRFF.
BPclassification
- 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-
ass2
- 最新PYTHON语言，用于自然语言处理。此程序用于对句子进行分类-Latest PYTHON language, used in natural language processing. This procedure used to sentence classification
weka-3-5-8
- 数据挖掘的最常用工具。由于开源，可以使用自己的代码进行开发。-The most commonly used data mining tools. Because of open source, you can use to develop their own code.
GEPKNN
- 代码是一个分类器的实现,其中使用了部分weka的源代码。可以将项目导入eclipse运行，记得把训练数据（arff文件）放在项目根目录下。-Code is the implementation of a classifier, the use of some of the weka source code. Projects can run into eclipse, I remember the training data [arff
UCI
- 是UCI数据库中的一些有代表性的数据集，用相关软件打开后即可使用-UCI database are some typical data sets, using the relevant software to open, ready for use
protein-data
- 一个arff格式的源码数据集，可用于WEKA挖掘软件当中。-1 arff format source data sets which can be used for mining software WEKA.
id3
- For now, we are not interested in what this graph represents. Rather, we would like to "save" the classification results from which the graph is generated. In the new window, we click on the "Save" button and save the re
bysj731
- 贝叶斯算法，本人使用实验数据验证过，很有效-Bayesian algorithm, I verified using experimental data, very effective
extractfeatures
- python languages. extract features from documents and convert to arff file.-python languages. extract features from documents and convert to arff file.
WEKA_model_Matlab
- The code can create a model by calling the WEKA tool in matlab. The input file should be in .arff format
kmeans
- 对其中的adult_cluster.arff文件实现了kmeans聚类算法。-Documents of which implements the kmeans adult_cluster.arff clustering algorithm.
Excel97-20032ArffConverter
- Excel 2 .arff converter
bank-data.arff
- 用于weka初入门学习，银行数据包括600实例，是data-bank.arff 文件，经过csv 处理之后的可经weka使用的文件。-The learn for weka early entry, bank data including 600 instances of the the the data-bank.arff file after csv after processing the file via weka.
arffwrite
- usage: convertion vector(double) to arff(weka) type code.