使用WEKA API聚类

Question

我通过使用Java WEKA LIB启动使用开源代码群集我的数据当数据集的格式.arff的格式时，它可以正确运行文件名是" u.user"您可以在此处找到文件暗示http://files.grouplens.org/datasets/movielens/ml-100k-readme.txt

这是我的代码

import weka.clusterers.SimpleKMeans;
import weka.core.Instances;
import weka.core.converters.ConverterUtils.DataSource;
import java.io.IOException;
public class Clustering {
    public static void main(String args[]) throws Exception{
        //load dataset
        String dataset = "C:/Users/DELL/Desktop/work/u.user";
        DataSource source = new DataSource(dataset);
        //get instances object
        Instances data = source.getDataSet();
        // new instance of clusterer
        SimpleKMeans model = new SimpleKMeans();//Simple EM (expectation maximisation)
        //number of clusters
        model.setNumClusters(4);
        //set distance function
        //model.setDistanceFunction(new weka.core.ManhattanDistance());
        // build the clusterer
        model.buildClusterer(data);
        System.out.println(model);
}
}

运行此错误显示

Exception in thread "main" java.io.IOException: File not found : C:UsersDELLDesktopworku.names
    weka.core.converters.C45Loader.setSource(C45Loader.java:190)
    weka.core.converters.AbstractFileLoader.setFile(AbstractFileLoader.java:90)
    weka.core.converters.ConverterUtils$DataSource.reset(ConverterUtils.java:306)
    weka.core.converters.ConverterUtils$DataSource.<init>(ConverterUtils.java:141)
    Clustering.main(Clustering.java:24)
    sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    java.lang.reflect.Method.invoke(Method.java:498)
    com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
    at weka.core.converters.C45Loader.setSource(C45Loader.java:190)
    at weka.core.converters.AbstractFileLoader.setFile(AbstractFileLoader.java:90)
    at weka.core.converters.ConverterUtils$DataSource.reset(ConverterUtils.java:306)
    at weka.core.converters.ConverterUtils$DataSource.<init>(ConverterUtils.java:141)
    at Clustering.main(Clustering.java:24)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
Process finished with exit code 1

我确定它是因为延长文件，当我使用其他文件时，bavause。您能帮我如何将数据聚类

Answer 1

您还需要注意文件格式（不仅是扩展名）。将数据集格式转换为匹配WEKA ARFF格式。对于数据u.user，您需要将扩展名更改为 *.arff（例如user.arff）和格式为：

@RELATION user
@ATTRIBUTE id   INTEGER  % this is actually useless
@ATTRIBUTE age  INTEGER
@ATTRIBUTE gender   {M,F}
@ATTRIBUTE occupation   {administrator,artist,doctor,educator,engineer,entertainment,executive,healthcare,homemaker,lawyer,librarian,marketing,none,other,programmer,retired,salesman,scientist,student,technician,writer}  % from u.occupation
@ATTRIBUTE zipcode  STRING
@DATA
1,24,M,technician,85711
2,53,F,other,94043
3,23,M,writer,32067
4,24,M,technician,43537
5,33,F,other,15213
6,42,M,executive,98101
7,57,M,administrator,91344
8,36,M,administrator,05201
...

您应该能够将数据集解析为weka.core.Instances。但是，不幸的是，SimpleKMeans会以：

拒绝您的数据

weka.core.unsupportedattributetypeexception： weka.clusterers.simplekmeans：无法处理字符串属性！

因此，您至少要有3个选项：

1. 矢量化或将数据的功能转换为数字值（也删除无用的数据，例如id）
2. 使用另一种可以处理诸如weka.clusterers.HierarchicalClusterer
的聚类算法
3. 结合两个解决方案

祝你好运！