mlpack::kmeans Namespace Reference

K-Means clustering. More...

Classes
class	AllowEmptyClusters
	Policy which allows K-Means to create empty clusters without any error being reported. More...
class	KMeans
	This class implements K-Means clustering. More...
class	MaxVarianceNewCluster
	When an empty cluster is detected, this class takes the point furthest from the centroid of the cluster with maximum variance as a new cluster. More...
class	RandomPartition
	A very simple partitioner which partitions the data randomly into the number of desired clusters. More...
class	RefinedStart
	A refined approach for choosing initial points for k-means clustering. More...

Detailed Description

K-Means clustering.