kMeans

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 clone(): AnyRef

   

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6. def cluster(X: List[List[Double]], centroids: List[List[Double]]): List[Int]

   

   Clusters the input data according to given centroids

   Clusters the input data according to given centroids

   X

   list of instances

   centroids

   coordinates of the centroids

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

   

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8. def equals(arg0: Any): Boolean

   

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9. def finalize(): Unit

   

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10. def getCentroids(X: List[List[Double]], y: List[Int], k: Int): List[List[Double]]

    

    Calculates the geometrical centers of the given clusters

    Calculates the geometrical centers of the given clusters

    X

    list of instances

    y

    list of cluster association

    k

    the total number of clusters

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

    

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12. def getLoss(X: List[List[Double]], y: List[Int], centroids: List[List[Double]]): Double

    

    Calculates the loss of the current clustering

    Calculates the loss of the current clustering

    X

    list of instances

    y

    list of cluster association

    centroids

    coordinates of the centroids

13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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

    

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

    

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