Package org.apache.mahout.math

Examples of org.apache.mahout.math.Vector.divide()

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    Vector sum = new DenseVector(2);
    for (VectorWritable v : sampleData) {
      v.get().addTo(sum);
      sampleN++;
    }
    sampleMean = sum.divide(sampleN);

    Vector sampleVar = new DenseVector(2);
    for (VectorWritable v : sampleData) {
      Vector delta = v.get().minus(sampleMean);
      delta.times(delta).addTo(sampleVar);
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    Vector sum = new DenseVector(2);
    for (VectorWritable v : sampleData) {
      sum.assign(v.get(), Functions.PLUS);
      sampleN++;
    }
    sampleMean = sum.divide(sampleN);

    Vector sampleVar = new DenseVector(2);
    for (VectorWritable v : sampleData) {
      Vector delta = v.get().minus(sampleMean);
      sampleVar.assign(delta.times(delta), Functions.PLUS);
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    Vector sum = new DenseVector(2);
    for (VectorWritable v : sampleData) {
      sum.assign(v.get(), Functions.PLUS);
      sampleN++;
    }
    sampleMean = sum.divide(sampleN);

    Vector sampleVar = new DenseVector(2);
    for (VectorWritable v : sampleData) {
      Vector delta = v.get().minus(sampleMean);
      sampleVar.assign(delta.times(delta), Functions.PLUS);
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    Matrix transposedA = A.transpose();
    Vector u = b;

    double beta = u.norm(2);
    if (beta > 0) {
      u = u.divide(beta);
    }

    Vector v = transposedA.times(u);
    int m = A.numRows();
    int n = A.numCols();
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