Examples of de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

Package de.lmu.ifi.dbs.elki.math.linearalgebra

Examples of de.lmu.ifi.dbs.elki.math.linearalgebra.Vector

de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
Provides a vector object that encapsulates an m x 1 - matrix object. @author Elke Achtert @apiviz.landmark

      V x = database.get(id);
      List<Double> probabilities = new ArrayList<Double>(k);
      for(int i = 0; i < k; i++) {
        V difference = x.minus(means.get(i));
        Matrix differenceRow = difference.getRowVector();
        Vector differenceCol = difference.getColumnVector();
        Matrix rowTimesCov = differenceRow.times(invCovMatr.get(i));
        Vector rowTimesCovTimesCol = rowTimesCov.times(differenceCol);
        double power = rowTimesCovTimesCol.get(0, 0) / 2.0;
        double prob = normDistrFactor.get(i) * Math.exp(-power);
        if(logger.isDebuggingFinest()) {
          logger.debugFinest(" difference vector= ( " + difference.toString() + " )\n" + " differenceRow:\n" + FormatUtil.format(differenceRow, "    ") + "\n" + " differenceCol:\n" + FormatUtil.format(differenceCol, "    ") + "\n" + " rowTimesCov:\n" + FormatUtil.format(rowTimesCov, "    ") + "\n" + " rowTimesCovTimesCol:\n" + FormatUtil.format(rowTimesCovTimesCol, "    ") + "\n" + " power= " + power + "\n" + " prob=" + prob + "\n" + " inv cov matrix: \n" + FormatUtil.format(invCovMatr.get(i), "     "));
        }

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   * @return vector in scaled space
   */
  @Override
  public Vector projectDataToScaledSpace(NumberVector<?, ?> data) {
    final int dim = data.getDimensionality();
    Vector vec = new Vector(dim);
    double[] ds = vec.getArrayRef();
    for(int d = 0; d < dim; d++) {
      ds[d] = scales[d].getScaled(data.doubleValue(d + 1));
    }
    return vec;
  }

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        if(poly == null) {
          continue;
        }
        SVGPath path = new SVGPath();
        for(Polygon ppoly : poly.getPolygons()) {
          Vector first = ppoly.get(0);
          double[] f = proj.fastProjectDataToRenderSpace(first);
          path.moveTo(f[0], f[1]);
          for(Vector v : ppoly) {
            if(v == first) {
              continue;

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    final int dim = src.length;
    double[] dst = new double[dim];
    for(int d = 0; d < dim; d++) {
      dst[d] = scales[d].getScaled(src[d]);
    }
    return new Vector(dst);
  }

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   * @return relative vector in scaled space
   */
  @Override
  public Vector projectRelativeDataToScaledSpace(NumberVector<?, ?> data) {
    final int dim = data.getDimensionality();
    Vector vec = new Vector(dim);
    double[] ds = vec.getArrayRef();
    for(int d = 0; d < dim; d++) {
      ds[d] = scales[d].getRelativeScaled(data.doubleValue(d + 1));
    }
    return vec;
  }

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    final int dim = src.length;
    double[] dst = new double[dim];
    for(int d = 0; d < dim; d++) {
      dst[d] = scales[d].getRelativeScaled(src[d]);
    }
    return new Vector(dst);
  }

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   * @return vector in data space
   */
  @Override
  public <NV extends NumberVector<NV, ?>> NV projectScaledToDataSpace(Vector v, NV factory) {
    final int dim = v.getDimensionality();
    Vector vec = v.copy();
    double[] ds = vec.getArrayRef();
    for(int d = 0; d < dim; d++) {
      ds[d] = scales[d].getUnscaled(ds[d]);
    }
    return factory.newNumberVector(vec.getArrayRef());
  }

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   * @return vector in data space
   */
  @Override
  public <NV extends NumberVector<NV, ?>> NV projectRenderToDataSpace(Vector v, NV prototype) {
    final int dim = v.getDimensionality();
    Vector vec = projectRenderToScaled(v);
    double[] ds = vec.getArrayRef();
    // Not calling {@link #projectScaledToDataSpace} to avoid extra copy of
    // vector.
    for(int d = 0; d < dim; d++) {
      ds[d] = scales[d].getUnscaled(ds[d]);
    }
    return prototype.newNumberVector(vec.getArrayRef());
  }

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   * @return relative vector in data space
   */
  @Override
  public <NV extends NumberVector<NV, ?>> NV projectRelativeScaledToDataSpace(Vector v, NV prototype) {
    final int dim = v.getDimensionality();
    Vector vec = v.copy();
    double[] ds = vec.getArrayRef();
    for(int d = 0; d < dim; d++) {
      ds[d] = scales[d].getRelativeUnscaled(ds[d]);
    }
    return prototype.newNumberVector(vec.getArrayRef());
  }

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   * @return relative vector in data space
   */
  @Override
  public <NV extends NumberVector<NV, ?>> NV projectRelativeRenderToDataSpace(Vector v, NV prototype) {
    final int dim = v.getDimensionality();
    Vector vec = projectRelativeRenderToScaled(v);
    double[] ds = vec.getArrayRef();
    // Not calling {@link #projectScaledToDataSpace} to avoid extra copy of
    // vector.
    for(int d = 0; d < dim; d++) {
      ds[d] = scales[d].getRelativeUnscaled(ds[d]);
    }
    return prototype.newNumberVector(vec.getArrayRef());
  }

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