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.


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