Packages

c

scalation.analytics

CanCorrelation

class CanCorrelation extends Reducer with Error

The CanCorrelation class performs Canonical Correlation Analysis 'CCA' on two random vectors. Samples for the first one are stored in the 'x' data matrix and samples for the second are stored in the 'y' data matrix. Find vectors a and b that maximize the correlation between x * a and y * b.

max {rho (x * a, y * b)}

Additional vectors orthogonal to a and b can also be found.

Linear Supertypes
Error, Reducer, AnyRef, Any
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  1. CanCorrelation
  2. Error
  3. Reducer
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Visibility
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Instance Constructors

  1. new CanCorrelation(x: MatrixD, y: MatrixD)

    x

    the x data matrix

    y

    the y data matrix

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  8. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  11. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. final def notify(): Unit
    Definition Classes
    AnyRef
  15. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  16. def recover(): MatrixD

    Approximately recover the original data ...

    Approximately recover the original data ...

    Definition Classes
    CanCorrelationReducer
  17. def recover2(): (MatrixD, MatrixD)

    Approximately recover the original data ...

  18. def reduce(): MatrixD

    Reduce the original data ...

    Reduce the original data ...

    Definition Classes
    CanCorrelationReducer
  19. def reduce2(): (MatrixD, MatrixD)

    Reduce the original data ...

  20. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  21. def toString(): String
    Definition Classes
    AnyRef → Any
  22. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Error

Inherited from Reducer

Inherited from AnyRef

Inherited from Any

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