ml::Clustering Namespace Reference

Methods and classes for clustering algorithms. More...

Classes
class	CentroidsInitialiser
	Chooses initial locations of centroids. More...
class	ClosestCentroid
	Initialises centroids and then assigns the responsibility for each point to its closest centroid. More...
class	Forgy
	Chooses random points as new centroids. More...
class	KMeans
	Naive K-means clustering method. More...
class	KPP
	Implements the K++ algorithm. More...
class	Model
	Abstract clustering model. More...
class	RandomPartition
	Assigns points to clusters randomly and then returns cluster means. More...
class	ResponsibilitiesInitialiser
	Chooses initial component responsibilities. More...

Detailed Description

Methods and classes for clustering algorithms.