Package org.apache.mahout.matrix

Examples of org.apache.mahout.matrix.SquareRootFunction


    }
    mean = s1.divide(s0);
    // compute the average of the component stds
    if (s0 > 1) {
      Vector std = s2.times(s0).minus(s1.times(s1)).assign(
          new SquareRootFunction()).divide(s0);
      stdDev = std.zSum() / s1.size();
    } else {
      stdDev = Double.MIN_VALUE;
    }
  }
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      return;
    }
    mean = s1.divide(s0);
    // compute the two component stds
    if (s0 > 1) {
      stdDev = s2.times(s0).minus(s1.times(s1)).assign(new SquareRootFunction())
          .divide(s0);
    } else {
      stdDev.assign(Double.MIN_NORMAL);
    }
  }
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  }

  /** @return the std */
  public double getStd() {
    Vector stds = pointSquaredTotal.times(getNumPoints()).minus(
          getPointTotal().times(getPointTotal())).assign(new SquareRootFunction())
          .divide(getNumPoints());
    return stds.zSum() / 2;
  }
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  /** Compute a "standard deviation" value to use as the "radius" of the cluster for display purposes */
  public double std() {
    if (s0 > 0) {
      Vector radical = s2.times(s0).minus(s1.times(s1));
      radical = radical.times(radical).assign(new SquareRootFunction());
      Vector stds = radical.assign(new SquareRootFunction()).divide(s0);
      return stds.zSum() / stds.size();
    } else {
      return 0;
    }
  }
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