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 uint32_t) |
| 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()
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inline |
Empty constructor, required by the InitialPartitionPolicy policy.
Definition at line 30 of file random_partition.hpp.
Member Function Documentation
◆ Cluster()
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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
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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:
- /home/ryan/src/mlpack.org/_src/mlpack-git/src/mlpack/methods/kmeans/random_partition.hpp