cmp::cluster::DummyCluster Class Reference

Simple partitioning algorithm that assigns observations to clusters uniformly at random. More...

#include <cluster.h>

Public Member Functions
	DummyCluster (size_t nClusters, unsigned int seed=42)
void	fit (const Eigen::Ref< const Eigen::MatrixXd > &points)
	Randomly assigns each data point to a cluster uniformly at random.
const Eigen::VectorXs &	getLabels () const
	Gets the randomly generated cluster labels.

Private Attributes
size_t	nClusters_
	Number of target clusters.
std::default_random_engine	rng_
	Random number generator.
Eigen::VectorXs	labels_
	Vector of randomly assigned labels.

Detailed Description

Simple partitioning algorithm that assigns observations to clusters uniformly at random.

Mathematical Formulation Each sample index \(i\) is assigned a cluster assignment variable \(z_i\) drawn from a discrete uniform distribution:

\[ P(z_i = k) = \frac{1}{K}, \quad k \in \{0, 1, \dots, K-1\} \]

where \(K\) is the number of target clusters.

Implementation Algorithm The fit() function constructs a std::uniform_int_distribution and samples an integer in the range \([0, K-1]\) for each data point sequentially.

Constructor & Destructor Documentation

DummyCluster()

cmp::cluster::DummyCluster::DummyCluster ( size_t  nClusters, unsigned int  seed = 42  )

inline

Member Function Documentation

fit()

void cmp::cluster::DummyCluster::fit ( const Eigen::Ref< const Eigen::MatrixXd > &  points )

inline

Randomly assigns each data point to a cluster uniformly at random.

Parameters

points

Matrix of points.

getLabels()

const Eigen::VectorXs & cmp::cluster::DummyCluster::getLabels ( ) const

inline

Gets the randomly generated cluster labels.

Returns

Reference to the label vector.

Member Data Documentation

labels_

Eigen::VectorXs cmp::cluster::DummyCluster::labels_

private

Vector of randomly assigned labels.

nClusters_

size_t cmp::cluster::DummyCluster::nClusters_

private

Number of target clusters.

rng_

std::default_random_engine cmp::cluster::DummyCluster::rng_

private

Random number generator.

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The documentation for this class was generated from the following file:

• include/cluster.h