Clusterer

scalation.modeling.clustering.Clusterer
See theClusterer companion trait
object Clusterer

The Clusterer object provides a simple dataset (matrix of data points) for initial testing of clustering algorithms.

Attributes

Companion
trait
Graph
Supertypes
class Object
trait Matchable
class Any
Self type
Clusterer.type

Members list

Value members

Concrete methods

def test(x: MatrixD, fls: Array[Boolean], alg: Clusterer, opt: Double): Unit

Test the quality of the variants of the KMeansClusterer class.

Test the quality of the variants of the KMeansClusterer class.

Value parameters

alg

the clustering algorithm to test

fls

the array of flags

opt

the known optimum for see (ignore if not known)

x

the data matrix holding the points/vectors

Attributes

Concrete fields

val x: MatrixD