Object/Class

clustering4ever.scala.clustering.kmodes

KModes

Related Docs: class KModes | package kmodes

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object KModes extends Serializable

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

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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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 finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def run[ID, O, V <: Seq[Int], Cz[ID, O, V <: Seq[Int]] <: BinaryClusterizable[ID, O, V, Cz[ID, O, V]], D <: BinaryDistance[V]](data: GenSeq[Cz[ID, O, V]], k: Int, epsilon: Double, maxIterations: Int, metric: D = new Hamming[V], initializedCenters: HashMap[Int, V] = mutable.HashMap.empty[Int, V])(implicit arg0: Numeric[ID], arg1: ClassTag[V]): KModesModel[ID, O, V, Cz[ID, O, V], D]

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    Run the K-Modes with any binary distance

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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