Package stallone.cluster

Examples of stallone.cluster.KMeansClustering

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        clustering.setMetric(metric);
    }

    public IClustering kmeans(IMetric<IDoubleArray> metric, int k, int maxIter)
    {
        KMeansClustering clustering = new KMeansClustering();
        kmeans(clustering, metric, k, maxIter);
        return (clustering);
    }
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        return (clustering);
    }

    public IClustering kmeans(int k, int maxIter)
    {
        KMeansClustering clustering = new KMeansClustering();
        kmeans(clustering, new EuclideanDistance(), k, maxIter);
        return (clustering);
    }
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        return (clustering);
    }

    public IClustering kmeans(int k)
    {
        KMeansClustering clustering = new KMeansClustering();
        kmeans(clustering, new EuclideanDistance(), k, 1000);
        return (clustering);
    }
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        return kmeans(data, metric, k, maxIter);
    }

    public IClustering kmeans(IDataInput data, IMetric<IDoubleArray> metric, int k, int maxIter)
    {
        KMeansClustering clustering = new KMeansClustering();
        kmeans(clustering, data, metric, k, maxIter);
        return (clustering);
    }
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Related Classes of stallone.cluster.KMeansClustering

  • stallone.api.cluster.ClusterFactory
  • stallone.api.doubles.IDoubleArray
  • stallone.doubles.fastutils.IntArrayList
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