Class

algorithms

SelfOrganizingMap

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class SelfOrganizingMap extends AnyRef

A class representing a self-organizing map (SOM)

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Instance Constructors

  1. new SelfOrganizingMap(height: Int, width: Int, alpha: Double, alphaHalflife: Int, alphaDecay: String, initStrat: String)

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    Create a new SOM

Value Members

  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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  4. final def asInstanceOf[T0]: T0

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  5. def classifiy(x: List[Double]): Int

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    Determines the best matcvhing unit (BMU) for an instance

    Determines the best matcvhing unit (BMU) for an instance

    x

    Current training instance

  6. def clone(): AnyRef

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  7. var count: Int

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

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  12. def getCurrentMap(): List[List[Double]]

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    Returns the current SOM

  13. def getNeighbors(index: Int, height: Int, width: Int): List[Int]

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    Determines neighboring nodes

    Determines neighboring nodes

    index

    Index of the node

    height

    Height of the node mesh

    width

    Width of the node mesh

  14. def hashCode(): Int

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  15. def initialize(X: List[List[Double]]): Unit

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    Initializes the SOM

    Initializes the SOM

    X

    List of training instances

  16. final def isInstanceOf[T0]: Boolean

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

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  18. var nodes: List[DenseVector[Double]]

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  19. var nodesHistory: List[List[List[Double]]]

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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

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  23. def toString(): String

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  24. def update(x: List[Double]): Unit

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    Performs one training step of the SOM

    Performs one training step of the SOM

    x

    Current training instance

  25. final def wait(): Unit

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

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

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