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SelfOrganizingMapClustering

Related Docs: object SelfOrganizingMapClustering | package clustering

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class SelfOrganizingMapClustering extends Clustering

Self-organizing map clustering

Linear Supertypes

Clustering, AnyRef, Any

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Instance Constructors

new SelfOrganizingMapClustering(json: JsValue)
new SelfOrganizingMapClustering(width: Int = SelfOrganizingMapClustering.width, height: Int = SelfOrganizingMapClustering.height, alpha: Double = SelfOrganizingMapClustering.alpha, alphaHalflife: Int = ..., alphaDecay: String = ..., lambda: Int = SelfOrganizingMapClustering.lambda, initStrat: String = ...)

width
Width (in number of nodes) of the SOM
height
Height (in number of nodes) of the SOM
alpha
Learning rate = size of the update step. Ranges from 0 (no update) to 1 (set equal to training instance)
alphaHalflife
Learning rate decay after this number of training steps
alphaDecay
Type of learning rate decay
lambda
Number of iterations for random training. Default -1: run once and in order through training data

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
val SOM: SelfOrganizingMap
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def clusterMeans(): List[List[List[Double]]]

Returns the training evolution of the cluster means
Returns the training evolution of the cluster means

Definition Classes
SelfOrganizingMapClustering → Clustering
def diagnostics(): Map[String, List[(Double, Double)]]

Provides meta-information on the algorithm
Provides meta-information on the algorithm
returns
Map object of metric names and metric values

Definition Classes
Clustering
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
def finalize(): Unit

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

Definition Classes
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def hashCode(): Int

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

Definition Classes
Any
val name: String

The name of the clustering algorithm
The name of the clustering algorithm

Definition Classes
SelfOrganizingMapClustering → Clustering
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def predict(X: List[List[Double]]): List[Int]

Applies the trained algorithm to a dataset
Applies the trained algorithm to a dataset
X
List of data instances
returns
List of predictions

Definition Classes
SelfOrganizingMapClustering → Clustering
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
def train(X: List[List[Double]]): Unit

Performs the training of the classifier
Performs the training of the classifier
X
List of training instances

Definition Classes
SelfOrganizingMapClustering → Clustering
final def wait(): Unit

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

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

Definition Classes
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Annotations
@throws( ... )

Inherited from Clustering

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