KMeans

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

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

   

   Definition Classes

   AnyRef → Any

4. val K: Int

   

5. val N: Int

   

6. val X: M

   

7. val a: M

   

8. def andThen[A](g: (Int) ⇒ A): (T) ⇒ A

   

   Definition Classes

   Function1

   Annotations

   @unspecialized()

9. def apply(observation: T): Int

   

   Definition Classes

   KMeans → Function1

10. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

11. val assignmentLog: Seq[M]

    

12. def assignmentsAndDistances(space: MetricSpace[M, Double], X: M, μ: M): (M, M)

    

    assignmentsAndDistances

    assignmentsAndDistances

    μ

    Returns: N x 1 matrix: indexes of centroids closest to xi N x 1 matrix: distances to those centroids

13. def centroid(i: Int): Seq[Double]

    

14. def centroidIndexAndDistanceClosestTo(space: MetricSpace[M, Double], μ: M, x: M): (Int, Double)

    

    centroidIndexAndDistanceClosestTo

15. def centroids(X: M, K: Int, assignments: M): (M, Seq[Int])

    

    centroids

    centroids

    X

    M x N scaled feature matrix

    K

    number of centroids

16. def classes: Range

    

17. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

18. def clusterLA(X: M, space: MetricSpace[M, Double], K: Int, iterations: Int): Seq[(M, M, M)]

    

    clusterLA

    clusterLA

    X

    (normalized feature matrix)

19. def compose[A](g: (A) ⇒ T): (A) ⇒ Int

    

    Definition Classes

    Function1

    Annotations

    @unspecialized()

20. val d: M

    

21. val data: F

    

22. val distanceLog: Seq[M]

    

23. def distanceLogSeries: List[(Int, TreeMap[Int, Double])]

    

24. def distanceTreeMap(centroidId: Int): TreeMap[Int, Double]

    

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

    

    Definition Classes

    AnyRef

26. val featureExtractor: (T) ⇒ Seq[Double]

    

27. val featureMatrix: M

    

28. val features: G

    

29. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnyRef → Any

31. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

32. val iterations: Int

    

33. implicit val la: LinearAlgebra[M, Int, Int, Double]

    

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

    

    Definition Classes

    AnyRef

35. val normalizer: Normalize[M]

    

36. val normalizerMaker: (M) ⇒ Normalize[M]

    

37. final def notify(): Unit

    

    Definition Classes

    AnyRef

38. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

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

    

    Definition Classes

    AnyRef

40. def toString(): String

    

    Definition Classes

    Function1 → AnyRef → Any

41. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

44. val μ: M

    

45. val μads: Seq[(M, M, M)]