Class

smile.clustering

KModes

Related Doc: package clustering

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class KModes extends PartitionClustering[Array[Int]] with Serializable

K-Modes clustering. K-Modes is the binary equivalent for K-Means. The mean update for centroids is replace by the mode one which is a majority vote among element of each cluster.

Complexity is O(k.t.n) with Hamming distance, quadratic with other metrics.

References

Linear Supertypes
Serializable, PartitionClustering[Array[Int]], Clustering[Array[Int]], Serializable, AnyRef, Any
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Inherited
  1. KModes
  2. Serializable
  3. PartitionClustering
  4. Clustering
  5. Serializable
  6. AnyRef
  7. Any
Implicitly
  1. by any2stringadd
  2. by StringFormat
  3. by Ensuring
  4. by ArrowAssoc
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new KModes(data: Array[Array[Int]], k: Int, epsilon: Double, maxIter: Int = 100, metric: Distance[Array[Int]] = new Hamming())

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    data

    the dataset

    k

    number of clusters

    epsilon

    distance between ancient modes and update modes under which we consider than the algorithm have converged, if and only if all every mode have converged

    maxIter

    number maximal of iteration

    metric

    the dissimilarity measure used

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. def +(other: String): String

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    Implicit information
    This member is added by an implicit conversion from KModes to any2stringadd[KModes] performed by method any2stringadd in scala.Predef.
    Definition Classes
    any2stringadd

  4. def ->[B](y: B): (KModes, B)

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    Implicit information
    This member is added by an implicit conversion from KModes to ArrowAssoc[KModes] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc
    Annotations
    @inline()

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

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    Definition Classes
    AnyRef → Any

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. def ensuring(cond: (KModes) ⇒ Boolean, msg: ⇒ Any): KModes

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    Implicit information
    This member is added by an implicit conversion from KModes to Ensuring[KModes] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  9. def ensuring(cond: (KModes) ⇒ Boolean): KModes

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    Implicit information
    This member is added by an implicit conversion from KModes to Ensuring[KModes] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  10. def ensuring(cond: Boolean, msg: ⇒ Any): KModes

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    Implicit information
    This member is added by an implicit conversion from KModes to Ensuring[KModes] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

  11. def ensuring(cond: Boolean): KModes

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    Implicit information
    This member is added by an implicit conversion from KModes to Ensuring[KModes] performed by method Ensuring in scala.Predef.
    Definition Classes
    Ensuring

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

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  14. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  15. def formatted(fmtstr: String): String

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    Implicit information
    This member is added by an implicit conversion from KModes to StringFormat[KModes] performed by method StringFormat in scala.Predef.
    Definition Classes
    StringFormat
    Annotations
    @inline()

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

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    Definition Classes
    AnyRef → Any

  17. def getClusterLabel(): Array[Int]

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    Definition Classes
    PartitionClustering

  18. def getClusterSize(): Array[Int]

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    Definition Classes
    PartitionClustering

  19. def getNumClusters(): Int

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    Definition Classes
    PartitionClustering

  20. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  21. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  22. val modes: Array[Array[Int]]

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    The modes of each cluster.

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

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    Definition Classes
    AnyRef

  24. final def notify(): Unit

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    Definition Classes
    AnyRef

  25. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  26. val p: Int

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    Dimension

  27. def predict(x: Array[Int]): Int

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    Return the nearest mode for a specific point.

    Return the nearest mode for a specific point.

    Definition Classes
    KModes → Clustering

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

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    Definition Classes
    AnyRef

  29. def toString(): String

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    Definition Classes
    AnyRef → Any

  30. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  33. def →[B](y: B): (KModes, B)

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    Implicit information
    This member is added by an implicit conversion from KModes to ArrowAssoc[KModes] performed by method ArrowAssoc in scala.Predef.
    Definition Classes
    ArrowAssoc

Inherited from Serializable

Inherited from PartitionClustering[Array[Int]]

Inherited from Clustering[Array[Int]]

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Inherited by implicit conversion any2stringadd from KModes to any2stringadd[KModes]

Inherited by implicit conversion StringFormat from KModes to StringFormat[KModes]

Inherited by implicit conversion Ensuring from KModes to Ensuring[KModes]

Inherited by implicit conversion ArrowAssoc from KModes to ArrowAssoc[KModes]

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