gov.sandia.cognition.math.matrix.Vector.unitVector()方法的使用及代码示例

x33g5p2x  于2022-02-01 转载在 其他  
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本文整理了Java中gov.sandia.cognition.math.matrix.Vector.unitVector()方法的一些代码示例,展示了Vector.unitVector()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。Vector.unitVector()方法的具体详情如下:
包路径:gov.sandia.cognition.math.matrix.Vector
类名称:Vector
方法名:unitVector

Vector.unitVector介绍

暂无

代码示例

代码示例来源:origin: algorithmfoundry/Foundry

Vector v = initial.unitVector();

代码示例来源:origin: gov.sandia.foundry/gov-sandia-cognition-learning-core

protected void cleanupAlgorithm()
{
  int N = this.getData().iterator().next().getDimensionality();
  Matrix Umatrix = MatrixFactory.getDefault().createMatrix( 
    this.getNumComponents(), N );
  for( int i = 0; i < this.getNumComponents(); i++ )
  {
    // Normalize each Vector by its 2-norm (unit length)
    Vector ui = this.components.get(i);
    Umatrix.setRow( i, ui.unitVector() );
  }
   this.setResult( new PrincipalComponentsAnalysisFunction(
    this.mean, new MultivariateDiscriminant( Umatrix ) ) );
  
}

代码示例来源:origin: gov.sandia.foundry/gov-sandia-cognition-common-core

Vector v = initial.unitVector();

代码示例来源:origin: algorithmfoundry/Foundry

protected void cleanupAlgorithm()
{
  int N = this.getData().iterator().next().getDimensionality();
  Matrix Umatrix = MatrixFactory.getDefault().createMatrix( 
    this.getNumComponents(), N );
  for( int i = 0; i < this.getNumComponents(); i++ )
  {
    // Normalize each Vector by its 2-norm (unit length)
    Vector ui = this.components.get(i);
    Umatrix.setRow( i, ui.unitVector() );
  }
   this.setResult( new PrincipalComponentsAnalysisFunction(
    this.mean, new MultivariateDiscriminant( Umatrix ) ) );
  
}

代码示例来源:origin: algorithmfoundry/Foundry

Vector v = initial.unitVector();

代码示例来源:origin: algorithmfoundry/Foundry

protected void cleanupAlgorithm()
{
  int N = this.getData().iterator().next().getDimensionality();
  Matrix Umatrix = MatrixFactory.getDefault().createMatrix( 
    this.getNumComponents(), N );
  for( int i = 0; i < this.getNumComponents(); i++ )
  {
    // Normalize each Vector by its 2-norm (unit length)
    Vector ui = this.components.get(i);
    Umatrix.setRow( i, ui.unitVector() );
  }
   this.setResult( new PrincipalComponentsAnalysisFunction(
    this.mean, new MultivariateDiscriminant( Umatrix ) ) );
  
}

代码示例来源:origin: algorithmfoundry/Foundry

Vector vunit = v.unitVector();
Vector vlambda = A.times( vunit );
double lambda = vlambda.norm2();

代码示例来源:origin: gov.sandia.foundry/gov-sandia-cognition-common-core

Vector vunit = v.unitVector();
Vector vlambda = A.times( vunit );
double lambda = vlambda.norm2();

代码示例来源:origin: algorithmfoundry/Foundry

Vector vunit = v.unitVector();
Vector vlambda = A.times( vunit );
double lambda = vlambda.norm2();

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