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。
GEPKNN.rar
- 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 files] on the project root di
UCI.rar
- 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
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.
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.
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.
bayes
- Naive Bayes Classifier for an arff file (Weka file format)
WEKA_model_Matlab
- The code can create a model by calling the WEKA tool in matlab. The input file should be in .arff format
import
- A C++ header/code to import ARFF and CSV format files into arrays
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.
all-kind-Fuzzy-Clustering
- 包含了几乎所有的聚类算法，用matlab实现的。里面有demo示例，可直接运行。-Contains almost all of the clustering algorithm, implemented using matlab. There are demo example, can be directly run.
datamining
- 文件处理，在数据挖掘中应用weka是的预处理程序解决文件格式转换-arff file process，make the source file in weka
KMeans
- 采用C++实现Kmeans聚类算法，距离的计算采用的是欧氏距离。数据集是weka自带的data里面的iris.arff数据集。假设样本所有属性都是数值属性，不考虑分类属性。-C++ implementation Kmeans classic clustering algorithm, the distance is calculated using the Euclidean distance. Data set is data that comes inside weka iris.arff
WekaPreprocess
- 用C++写的处理weka软件所要求的数据格式arff的代码-The arff the code of weka software written in C++ processing the required data format
cbuildPc45
- 数据挖掘算法决策树C4.5，针对arff格式的文件，强大，完整的项目，可直接利用-Decision Tree C4.5
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.