Class FloatPCA performs a principal component analysis on a given single-precision
data matrix.
Namespace:
CenterSpace.NMath.StatsAssembly: NMathStats (in NMathStats.dll) Version: 3.4.0.0
Syntax
| C# |
|---|
[SerializableAttribute] public class FloatPCA : ICloneable |
| Visual Basic (Declaration) |
|---|
<SerializableAttribute> _ Public Class FloatPCA _ Implements ICloneable |
| Visual C++ |
|---|
[SerializableAttribute] public ref class FloatPCA : ICloneable |
Remarks
The first principal component accounts for as much of the variability
in the data as possible, and each succeeding component accounts for as
much of the remaining variability as possible.
The calculation is performed using a singular value decomposition of the data matrix. The data may optionally be centered and scaled before analysis takes place.
The calculation is performed using a singular value decomposition of the data matrix. The data may optionally be centered and scaled before analysis takes place.
