Question

有没有办法写一个不使用序列文件而只使用向量集合的玩具Mahout示例？

我正在尝试了解距离度量，并希望基于距离度量进行helloworld聚类。我不想用序列文件来夸张它：

    public static void main(String[] args) {

        Vector v1 = toVector("java is very good");
        Vector v2 = toVector("java is very bad");
        double distance = new CosineDistanceMeasure().distance(v1, v2);
        System.out.println("DistanceMeasureMain.main() distance is "
                + distance);

        // TODO: run KMeansDriver without sequence files if possible
    }

    private static Vector toVector(String string) {

        String[] words = string.split("\\s");
        Vector v = new SequentialAccessSparseVector(Integer.MAX_VALUE );
        int i = 0;
        for (String word : words) {
            v.set(word.hashCode(), 1);
        }
        return v;
    }

Answer 1

这比预期的容易：

List<Canopy> canopies = CanopyClusterer.createCanopies(vectorList,
                    new CosineDistanceMeasure(), 0.3, 0.3);

尽管我读到在更高版本的Mahout中树冠群集是deprecated：（

没有序列文件的Mahout聚类？

1 个答案: