scalation.analytics

NMFactorization

Related Doc: package analytics

class NMFactorization extends AnyRef

The NMFactorization class factors a matrix 'v' into two non negative matrices 'w' and 'h' such that v = wh approximately.

See also

http://en.wikipedia.org/wiki/Non-negative_matrix_factorization

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Instance Constructors

  1. new NMFactorization(v: MatrixD, loops: Int = 10, r: Int = 0)

    v

    the matrix to be factored

    loops

    the number of iterations before checking the termination condition

    r

    factor the m-by-n matrix 'v' in to two factors: an m-by-r and r-by-n matrix

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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def factor(): (MatrixD, MatrixD)

    Factor the original matrix 'v' into left 'w' and right 'h' matrices by iteratively calling the 'update' method until the difference between 'v' and its approximation 'vv = w * h' is sufficiently small.

  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  13. final def ne(arg0: AnyRef): Boolean

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. var r: Int

    factor the m-by-n matrix 'v' in to two factors: an m-by-r and r-by-n matrix

  17. final def synchronized[T0](arg0: ⇒ T0): T0

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  18. def toString(): String

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  19. final def wait(): Unit

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  20. final def wait(arg0: Long, arg1: Int): Unit

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  21. final def wait(arg0: Long): Unit

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