RandomClustering

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

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

   

   Definition Classes

   AnyRef → Any

4. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

5. var centroidEvolution: List[List[List[Double]]]

   

6. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

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   Annotations

   @throws( ... )

7. def clusterMeans(): List[List[List[Double]]]

   

   Returns the training evolution of the cluster means

   Returns the training evolution of the cluster means

   Definition Classes

   RandomClustering → Clustering

8. def diagnostics(): Map[String, List[(Double, Double)]]

   

   Provides meta-information on the algorithm

   Provides meta-information on the algorithm

   returns

   Map object of metric names and metric values

   Definition Classes

   Clustering

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

   

   Definition Classes

   AnyRef

10. def equals(arg0: Any): Boolean

    

    Definition Classes

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11. def finalize(): Unit

    

    Attributes

    protected[java.lang]

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    @throws( classOf[java.lang.Throwable] )

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

    

    Definition Classes

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13. def hashCode(): Int

    

    Definition Classes

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14. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

15. var k: Int

    

16. val name: String

    

    The name of the clustering algorithm

    The name of the clustering algorithm

    Definition Classes

    RandomClustering → Clustering

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

    

    Definition Classes

    AnyRef

18. final def notify(): Unit

    

    Definition Classes

    AnyRef

19. final def notifyAll(): Unit

    

    Definition Classes

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20. def predict(X: List[List[Double]]): List[Int]

    

    Applies the trained algorithm to a dataset

    Applies the trained algorithm to a dataset

    X

    List of data instances

    returns

    List of predictions

    Definition Classes

    RandomClustering → Clustering

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

    

    Definition Classes

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22. def toString(): String

    

    Definition Classes

    AnyRef → Any

23. def train(X: List[List[Double]]): Unit

    

    Performs the training of the classifier

    Performs the training of the classifier

    X

    List of training instances

    Definition Classes

    RandomClustering → Clustering

24. final def wait(): Unit

    

    Definition Classes

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    @throws( ... )

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

    

    Definition Classes

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    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )