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
暂无
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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