mlpack
2.2.5

A very simple partitioner which partitions the data randomly into the number of desired clusters. More...
Public Member Functions  
RandomPartition ()  
Empty constructor, required by the InitialPartitionPolicy policy. More...  
template < typename Archive >  
void  Serialize (Archive &, const unsigned int) 
Serialize the partitioner (nothing to do). More...  
Static Public Member Functions  
template < typename MatType >  
static void  Cluster (const MatType &data, const size_t clusters, arma::Row< size_t > &assignments) 
Partition the given dataset into the given number of clusters. More...  
Detailed Description
A very simple partitioner which partitions the data randomly into the number of desired clusters.
It has no parameters, and so an instance of the class is not even necessary.
Definition at line 26 of file random_partition.hpp.
Constructor & Destructor Documentation
◆ RandomPartition()

inline 
Empty constructor, required by the InitialPartitionPolicy policy.
Definition at line 30 of file random_partition.hpp.
Member Function Documentation
◆ Cluster()

inlinestatic 
Partition the given dataset into the given number of clusters.
Assignments are random, and the number of points in each cluster should be equal (or approximately equal).
 Template Parameters

MatType Type of data (arma::mat or arma::sp_mat).
 Parameters

data Dataset to partition. clusters Number of clusters to split dataset into. assignments Vector to store cluster assignments into. Values will be between 0 and (clusters  1).
Definition at line 44 of file random_partition.hpp.
◆ Serialize()

inline 
Serialize the partitioner (nothing to do).
Definition at line 55 of file random_partition.hpp.
The documentation for this class was generated from the following file:
 src/mlpack/methods/kmeans/random_partition.hpp
Generated by 1.8.13