无法处理任何类属性！ kmeans Java [英] Cannot handle any class attribute! kmeans java

问题描述

我要执行k均值算法

我在日食中使用此weka

i use for this weka in eclipse

我有此代码

public class demo {
    public demo() throws Exception {
        // TODO Auto-generated constructor stub
        BufferedReader breader = null;
        breader = new BufferedReader(new FileReader(
                "D:/logiciels/weka-3-7-12/weka-3-7-12/data/iris.arff"));
        Instances Train = new Instances(breader);
        Train.setClassIndex(Train.numAttributes() - 1);
        SimpleKMeans kMeans = new SimpleKMeans();
        kMeans.setSeed(10);
        kMeans.setPreserveInstancesOrder(true);
        kMeans.setNumClusters(3);
        kMeans.buildClusterer(Train);
        int[] assignments = kMeans.getAssignments();
        int i = 0;
        for (int clusterNum : assignments) {
            System.out.printf("Instance %d -> Cluster %d", i, clusterNum);
            i++;
        }
        breader.close();
    }
    public static void main(String[] args) throws Exception {
        // TODO Auto-generated method stub
        new demo();
    }
}

但是有一个例外

Exception in thread "main" weka.core.WekaException: weka.clusterers.SimpleKMeans: Cannot handle any class attribute!
    at weka.core.Capabilities.test(Capabilities.java:1295)
    at weka.core.Capabilities.test(Capabilities.java:1208)
    at weka.core.Capabilities.testWithFail(Capabilities.java:1506)
    at weka.clusterers.SimpleKMeans.buildClusterer(SimpleKMeans.java:595)
    at wakaproject.demo.<init>(demo.java:24)
    at wakaproject.demo.main(demo.java:37)

我已经阅读了一些解决方案，但我不觉得问题在哪里

i have read some solutions but i don't undsund where is th e problem

先谢谢您

推荐答案

错误:

Exception in thread "main" weka.core.WekaException: weka.clusterers.SimpleKMeans: Cannot handle any class attribute!

指出SimpleKMeans无法处理类属性.这是因为K-means是一种无监督的学习算法，这意味着不应定义任何类.但是，代码中的一行设置了类值.

states that SimpleKMeans cannot handle a class attribute. This is because K-means is an unsupervised learning algorithm, meaning that there should be no class defined. Yet, one line in the code sets the class value.

如果您按以下方式修改代码，则它可以正常工作.

If you modify the code as follows, it works.

public class demo {
    public demo() throws Exception {
        // TODO Auto-generated constructor stub
        BufferedReader breader = null;
        breader = new BufferedReader(new FileReader(
                "D:/logiciels/weka-3-7-12/weka-3-7-12/data/iris.arff"));
        Instances Train = new Instances(breader);
        //Train.setClassIndex(Train.numAttributes() - 1); // comment out this line
        SimpleKMeans kMeans = new SimpleKMeans();
        kMeans.setSeed(10);
        kMeans.setPreserveInstancesOrder(true);
        kMeans.setNumClusters(3);
        kMeans.buildClusterer(Train);
        int[] assignments = kMeans.getAssignments();
        int i = 0;
        for (int clusterNum : assignments) {
            System.out.printf("Instance %d -> Cluster %d", i, clusterNum);
            i++;
        }
        breader.close();
    }
    public static void main(String[] args) throws Exception {
        // TODO Auto-generated method stub
        new demo();
    }
}

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