Class/Object

org.clustering4ever.clusteringanalysis

BinaryClustersAnalysis

Related Docs: object BinaryClustersAnalysis | package clusteringanalysis

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case class BinaryClustersAnalysis[O, V <: Seq[Int], Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz], Vecto[A, B <: Seq[Int]] <: VectorizationLocalBinary[A, B, Vecto[A, B]], GS[X] <: GenSeq[X]](data: GS[Cz[O, BinaryVector[V]]], vectorization: Vecto[O, V], clustersBasicStatsKeeper: ClusteringBasicStatsKeeper[BinaryVector[V]] = ..., advancedBinaryStats: EveryClusteringBinaryAnalysis = new EveryClusteringBinaryAnalysis) extends ClustersAnalysisLocal[O, BinaryVector[V], Cz, Vecto[O, V], GS] with Product with Serializable

Specific class for binary vector datasets

Linear Supertypes
Product, Equals, ClustersAnalysisLocal[O, BinaryVector[V], Cz, Vecto[O, V], GS], ClustersAnalysis[O, BinaryVector[V], Cz, GS], DataExplorator[O, BinaryVector[V], Cz, GS], CollectionNature[GS], ClusteringSharedTypes, Serializable, Serializable, AnyRef, Any
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Inherited
  1. BinaryClustersAnalysis
  2. Product
  3. Equals
  4. ClustersAnalysisLocal
  5. ClustersAnalysis
  6. DataExplorator
  7. CollectionNature
  8. ClusteringSharedTypes
  9. Serializable
  10. Serializable
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new BinaryClustersAnalysis(data: GS[Cz[O, BinaryVector[V]]], vectorization: Vecto[O, V], clustersBasicStatsKeeper: ClusteringBasicStatsKeeper[BinaryVector[V]] = ..., advancedBinaryStats: EveryClusteringBinaryAnalysis = new EveryClusteringBinaryAnalysis)

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Type Members

  1. final type ClusterID = Int

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    Definition Classes
    ClusteringSharedTypes

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

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    Definition Classes
    AnyRef → Any

  4. val advancedBinaryStats: EveryClusteringBinaryAnalysis

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  5. val allClusteringNumbers: Seq[Int]

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    Attributes
    protected
    Definition Classes
    ClustersAnalysisLocal

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. def cardinalities(clusteringNumber: ClusteringNumber): Map[Int, Long]

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    Definition Classes
    ClustersAnalysisLocal → ClustersAnalysis

  8. def cardinalitiesForEveryClusteringNumber: Unit

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    Definition Classes
    ClustersAnalysisLocal

  9. def centroids[D <: Distance[BinaryVector[V]]](metric: D, clusteringNumber: ClusteringNumber): Map[ClusterID, BinaryVector[V]]

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    Definition Classes
    ClustersAnalysisLocal → ClustersAnalysis

  10. def centroidsForEveryClusteringNumber[D <: Distance[BinaryVector[V]]](metric: D): Unit

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    Definition Classes
    ClustersAnalysisLocal

  11. def clone(): AnyRef

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

  12. val clustersBasicStatsKeeper: ClusteringBasicStatsKeeper[BinaryVector[V]]

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    Definition Classes
    BinaryClustersAnalysis → ClustersAnalysis

  13. def clustersProportions(clusteringNumber: ClusteringNumber): Map[Int, Double]

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    Definition Classes
    ClustersAnalysisLocal → ClustersAnalysis

  14. def clustersProportionsForEveryClusteringNumber: Unit

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    Definition Classes
    ClustersAnalysisLocal

  15. val data: GS[Cz[O, BinaryVector[V]]]

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    Definition Classes
    BinaryClustersAnalysis → DataExplorator

  16. val datasetSize: Long

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    Definition Classes
    ClustersAnalysisLocal → ClustersAnalysis

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

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    Definition Classes
    AnyRef

  18. def everyClusteringFrequencyPerEveryFeature: Seq[(ClusteringNumber, (HashMap[ClusterID, Seq[Int]], HashMap[ClusterID, Seq[Double]]))]

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  19. def everyClusteringObtainAllCentroidsModes: Map[ClusteringNumber, HashMap[ClusterID, BinaryVector[V]]]

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    returns

    cluster's modes in the sense of Hamming (majority vote) for every clustering corresponding to the given vectorization

  20. def everyClusteringUpdateBinaryStats: Unit

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    Update AdvancedBinaryStats internal object for every clusteringNumber corresponding to associate vectorization

  21. def finalize(): Unit

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

  22. lazy val frequencyPerFeature: Seq[Double]

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    Frequencies of every features for the current working vector

  23. def frequencyPerFeatureByClusteringNumber(clusteringNumber: ClusteringNumber): (HashMap[ClusterID, Seq[Int]], HashMap[ClusterID, Seq[Double]])

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    returns

    occurencesPerFeatureByClusteringNumber and frequencyPerFeatureByClusteringNumber

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

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    Definition Classes
    AnyRef → Any

  25. def groupedByClusterID(clusteringNumber: ClusteringNumber): GenMap[Int, GenSeq[Cz[O, BinaryVector[V]]]]

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    Definition Classes
    ClustersAnalysisLocal

  26. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  27. var lastGroupedByClusterID: Option[(Int, GenMap[Int, GenSeq[Cz[O, BinaryVector[V]]]])]

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    Definition Classes
    ClustersAnalysisLocal

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

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    Definition Classes
    AnyRef

  29. final def notify(): Unit

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    Definition Classes
    AnyRef

  30. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  31. def obtainCentroidsModes(clusteringNumber: ClusteringNumber): HashMap[ClusterID, BinaryVector[V]]

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    returns

    cluster's modes in the sense of Hamming (majority vote)

  32. lazy val occurencesPerFeature: Seq[Int]

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    Occurences of every features for the current working vector

  33. def occurencesPerFeatureByClusteringNumber(clusteringNumber: ClusteringNumber): HashMap[ClusterID, Seq[Int]]

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    returns

    occurencesPerFeatureByClusteringNumber

  34. def switchForSameVectorizationNature(newVectorization: Vecto[O, V]): BinaryClustersAnalysis[O, V, Cz, Vecto, GS]

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    Switch the working vector for the one given by vectorization

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

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    Definition Classes
    AnyRef

  36. def updateBinaryStatsByClusteringNumber(clusteringNumber: ClusteringNumber): Unit

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  37. val vectorization: Vecto[O, V]

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    Definition Classes
    BinaryClustersAnalysis → ClustersAnalysisLocal

  38. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from ClustersAnalysisLocal[O, BinaryVector[V], Cz, Vecto[O, V], GS]

Inherited from ClustersAnalysis[O, BinaryVector[V], Cz, GS]

Inherited from DataExplorator[O, BinaryVector[V], Cz, GS]

Inherited from CollectionNature[GS]

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped