Packages

c

scalation.analytics.fda

KMeansClustering_F

class KMeansClustering_F extends Clusterer

The KMeansClustering_F class provides a simple form of k-means clustering that simply smoothes the data and then appliers KMeansClustering.

Linear Supertypes
Clusterer, AnyRef, Any
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Instance Constructors

  1. new KMeansClustering_F(x: MatrixD, t: VectorD, τ: VectorD, k: Int, s: Int = 0)

    x

    the vectors/points to be clustered stored as rows of a matrix

    t

    the time points

    τ

    the time points for knots

    k

    the number of clusters to make

    s

    the random number stream (to vary the clusters made)

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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def classify(y: VectorD): Int

    Given a new point/vector 'y', determine which cluster it belongs to, i.e., the cluster whose centroid it is closest to.

    Given a new point/vector 'y', determine which cluster it belongs to, i.e., the cluster whose centroid it is closest to.

    y

    the vector to classify

    Definition Classes
    KMeansClustering_FClusterer
  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. def cluster(): Array[Int]

    Create 'k' clusters consisting of points/rows that are closest to each other.

    Create 'k' clusters consisting of points/rows that are closest to each other.

    Definition Classes
    KMeansClustering_FClusterer
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  12. def getName(i: Int): String

    Get the name of the i-th cluster.

    Get the name of the i-th cluster.

    Definition Classes
    Clusterer
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. def name_(n: Array[String]): Unit

    Set the names for the clusters.

    Set the names for the clusters.

    n

    the array of names

    Definition Classes
    Clusterer
  16. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. final def notify(): Unit
    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit
    Definition Classes
    AnyRef
  19. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  20. def toString(): String
    Definition Classes
    AnyRef → Any
  21. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Clusterer

Inherited from AnyRef

Inherited from Any

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