Package stallone.doubles

Examples of stallone.doubles.EuclideanDistance

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    }

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

    public IClustering kmeans(IDataInput data, int k, int maxIter)
    {
        return (kmeans(data, new EuclideanDistance(), k, maxIter));
    }
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        return (kmeans(data, new EuclideanDistance(), k, maxIter));
    }

    public IClustering kmeans(IDataSequence data, int k, int maxIter)
    {
        return (kmeans(data, new EuclideanDistance(), k, maxIter));
    }
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        return (kmeans(data, new EuclideanDistance(), k, maxIter));
    }

    public IClustering kmeans(IDataInput data, int k)
    {
        return (kmeans(data, new EuclideanDistance(), k, 1000));
    }
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        return (kmeans(data, new EuclideanDistance(), k, 1000));
    }

    public IClustering kmeans(IDataSequence data, int k)
    {
        return (kmeans(data, new EuclideanDistance(), k, 1000));
    }
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        return (kcenter(data, metric, k));
    }

    public IClustering kcenter(IDataInput data, int k)
    {
        return (kcenter(data, new EuclideanDistance(), k));
    }
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        return (kcenter(data, new EuclideanDistance(), k));
    }

    public IClustering kcenter(IDataSequence data, int k)
    {
        return (kcenter(data, new EuclideanDistance(), k));
    }
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        return regspace(data, metric, dmin);
    }

    public IClustering regspace(IDataInput data, double dmin)
    {
        return (regspace(data, new EuclideanDistance(), dmin));
    }
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        return (regspace(data, new EuclideanDistance(), dmin));
    }

    public IClustering regspace(IDataSequence data, double dmin)
    {
        return (regspace(data, new EuclideanDistance(), dmin));
    }
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        return (clustering);
    }

    public IClustering densitybased(IDataSequence data, double dmin, int minpts)
    {
        return densitybased(data, new EuclideanDistance(), dmin, minpts);
    }
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Related Classes of stallone.doubles.EuclideanDistance

  • stallone.api.cluster.ClusterFactory
  • stallone.api.discretization.DiscretizationFactory
  • stallone.api.doubles.IDoubleArray
  • stallone.cluster.CompactRandomClustering
  • stallone.cluster.DensityBasedClusteringOPTICS
  • stallone.cluster.DensityBasedClusteringSimple
  • stallone.hmm.pmm.AdaptiveDiscretization
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