首先需要将向量写入seq文件。代码如下：

List<VectorWritable> vectors = new ArrayList<>();
double[] vectorValues = {<your vector values>};
vectors.add(new VectorWritable(new NamedVector(new DenseVector(vectorValues), userName)));
Configuration conf = new Configuration();
FileSystem fs = FileSystem.get(conf);
fs = FileSystem.get(new File(writeFile).toURI(), conf);
writer = new SequenceFile.Writer(fs, conf, new Path(writeFile), Text.class, VectorWritable.class);
try {
      int i = 0;
      for (VectorWritable vw : vectors) {
        writer.append(new Text("mapred_" + i++), vw);
      }
    } finally {
      Closeables.close(writer, false);
    }

然后使用下面的行生成簇。您需要向kmeans提供初始集群，因此我使用canopy来生成初始集群。
但是，您将无法理解cluster的输出，因为它是seq文件格式。您需要在mahout-integration.jar中执行clusterdumper类来最终读取和理解集群。

Configuration conf = new Configuration(); 
CanopyDriver.run(conf, new Path(inputPath), new Path(canopyOutputPath), new ManhattanDistanceMeasure(), (double) 3.1, (double) 2.1, true, (double) 0.5, true );
                    // now run the KMeansDriver job
KMeansDriver.run(conf, new Path(inputPath), new Path(canopyOutputPath + "/clusters-0-final/"), new Path(kmeansOutput), new EuclideanDistanceMeasure(), 0.001, 10, true, 2d, false);