ClustersIndicesAnalysisAncestorLocal

Type Members

type ClusterID = Int

Definition Classes
ClusteringSharedTypes
abstract type Self <: ClustersIndicesAnalysis[O, V, Cz, GS]

Definition Classes
ClustersIndicesAnalysis → ClustersExternalIndicesAnalysis → ClustersInternalIndicesAnalysis

Abstract Value Members

abstract val clusterized: GS[Cz[O, V]]

Definition Classes
ClustersIndicesAnalysisAncestor
abstract val internalsIndicesByMetricClusteringNumberIndex: Map[(MetricID, ClusterID, InternalsIndicesType), Double]

Definition Classes
ClustersInternalIndicesAnalysis
abstract def saveInternalsIndices[D[A <: GVector[A]] <: Distance[A]](metric: D[V], indices: InternalsIndicesType*)(clusteringNumber: ClusteringNumber): Self

Definition Classes
ClustersInternalIndicesAnalysis
abstract def saveInternalsIndicesForEveryClusteringNumber[D[A <: GVector[A]] <: Distance[A]](metric: D[V], indices: InternalsIndicesType*): Self

Definition Classes
ClustersExternalIndicesAnalysis

Concrete Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def computeExternalsIndices(groundTruth: GS[ClusterID], indices: ExternalsIndicesType*)(clusteringNumber: ClusteringNumber): Map[ExternalsIndicesType, Double]

Compute given externals indices and add result to externalsIndicesByClusteringNumber
Compute given externals indices and add result to externalsIndicesByClusteringNumber
returns
A Map which link external indices to its associate value

Definition Classes
ClustersIndicesAnalysisAncestorLocal → ClustersExternalIndicesAnalysis
final def computeExternalsIndicesForEveryClusteringNumber(groundTruth: GS[ClusterID], indices: ExternalsIndicesType*): Seq[Map[ExternalsIndicesType, Double]]

Definition Classes
ClustersIndicesAnalysisAncestorLocal → ClustersExternalIndicesAnalysis
final def computeInternalsIndicesForEveryClusteringNumber[D[A <: GVector[A]] <: Distance[A]](metric: D[V], indices: InternalsIndicesType*): Seq[Map[InternalsIndicesType, Double]]

Definition Classes
ClustersIndicesAnalysisAncestorLocal → ClustersInternalIndicesAnalysis
final def computeInternalsIndicesForSpecificsClusteringNumber[D[A <: GVector[A]] <: Distance[A]](metric: D[V], indices: InternalsIndicesType*)(clusteringNumber: ClusteringNumber*): Seq[Map[InternalsIndicesType, Double]]
final def computeSomeExternalsIndices(groundTruth: GS[ClusterID], clusterIDs: Int*)(indices: ExternalsIndicesType*): Seq[Map[ExternalsIndicesType, Double]]
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
val externalsIndicesByClusteringNumber: Map[Int, Map[ExternalsIndicesType, Double]]

Definition Classes
ClustersExternalIndicesAnalysis
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
final def obtainInternalsIndices[D[A <: GVector[A]] <: Distance[A]](metric: D[V], indices: InternalsIndicesType*)(clusteringNumber: ClusteringNumber = 0): Map[InternalsIndicesType, Double]

Compute given internals indices and add result to internalsIndicesByMetricClusteringNumberIndex
Compute given internals indices and add result to internalsIndicesByMetricClusteringNumberIndex
returns
A Map which link internal indices to its associate value

Definition Classes
ClustersIndicesAnalysisAncestorLocal → ClustersInternalIndicesAnalysis
final def obtainInternalsIndicesVecto[D[A <: GVector[A]] <: Distance[A], Vecto[A, B <: GVector[B]] <: Vectorization[A, B, Vecto[A, B]]](metric: D[V], indices: InternalsIndicesType*)(vectorization: Vecto[O, V]): Map[InternalsIndicesType, Double]
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Related Doc: package indices

trait ClustersIndicesAnalysisAncestorLocal[O, V <: GVector[V], Cz[Y, Z <: GVector[Z]] <: Clusterizable[Y, Z, Cz], GS[X] <: GenSeq[X]] extends ClustersIndicesAnalysis[O, V, Cz, GS]

Type Members

type ClusterID = Int

abstract type Self <: ClustersIndicesAnalysis[O, V, Cz, GS]

Abstract Value Members

abstract val clusterized: GS[Cz[O, V]]

abstract val internalsIndicesByMetricClusteringNumberIndex: Map[(MetricID, ClusterID, InternalsIndicesType), Double]

abstract def saveInternalsIndices[D[A <: GVector[A]] <: Distance[A]](metric: D[V], indices: InternalsIndicesType*)(clusteringNumber: ClusteringNumber): Self

abstract def saveInternalsIndicesForEveryClusteringNumber[D[A <: GVector[A]] <: Distance[A]](metric: D[V], indices: InternalsIndicesType*): Self

Concrete Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def computeExternalsIndices(groundTruth: GS[ClusterID], indices: ExternalsIndicesType*)(clusteringNumber: ClusteringNumber): Map[ExternalsIndicesType, Double]

final def computeExternalsIndicesForEveryClusteringNumber(groundTruth: GS[ClusterID], indices: ExternalsIndicesType*): Seq[Map[ExternalsIndicesType, Double]]

final def computeInternalsIndicesForEveryClusteringNumber[D[A <: GVector[A]] <: Distance[A]](metric: D[V], indices: InternalsIndicesType*): Seq[Map[InternalsIndicesType, Double]]

final def computeInternalsIndicesForSpecificsClusteringNumber[D[A <: GVector[A]] <: Distance[A]](metric: D[V], indices: InternalsIndicesType*)(clusteringNumber: ClusteringNumber*): Seq[Map[InternalsIndicesType, Double]]

final def computeSomeExternalsIndices(groundTruth: GS[ClusterID], clusterIDs: Int*)(indices: ExternalsIndicesType*): Seq[Map[ExternalsIndicesType, Double]]

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

val externalsIndicesByClusteringNumber: Map[Int, Map[ExternalsIndicesType, Double]]

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def obtainInternalsIndices[D[A <: GVector[A]] <: Distance[A]](metric: D[V], indices: InternalsIndicesType*)(clusteringNumber: ClusteringNumber = 0): Map[InternalsIndicesType, Double]

final def obtainInternalsIndicesVecto[D[A <: GVector[A]] <: Distance[A], Vecto[A, B <: GVector[B]] <: Vectorization[A, B, Vecto[A, B]]](metric: D[V], indices: InternalsIndicesType*)(vectorization: Vecto[O, V]): Map[InternalsIndicesType, Double]

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from ClustersIndicesAnalysis[O, V, Cz, GS]

Inherited from ClustersExternalIndicesAnalysis[O, V, Cz, GS]

Inherited from ClustersInternalIndicesAnalysis[O, V, Cz, GS]

Inherited from ClustersIndicesAnalysisAncestor[O, V, Cz, GS]

Inherited from ClusteringSharedTypes

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped

final def computeInternalsIndicesForSpecificsClusteringNumber[D[A <: GVector[A]] <: Distance[A]](metric: D[V], indices: InternalsIndicesType)(clusteringNumber: ClusteringNumber): Seq[Map[InternalsIndicesType, Double]]

final def computeSomeExternalsIndices(groundTruth: GS[ClusterID], clusterIDs: Int)(indices: ExternalsIndicesType): Seq[Map[ExternalsIndicesType, Double]]