stira::common::ClusteringLearning Class Reference

class for 2D point cloud analysis Uses OpenCV's functionalities More...

#include <ClusteringLearning.h>

Public Member Functions
	ClusteringLearning (std::vector< Point< double > > inputPoints)
	constructor More...
PcaResult	ComputePCA ()
	PCA analysis of this 2D point cloud (uses OpenCV) Ref: http://docs.opencv.org/3.1.0/d1/dee/tutorial_introduction_to_pca.html. More...
std::vector< pointCluster >	ComputeKMeans (std::vector< Point< double > > clusterCenters)
	K-Means clustering of this 2D point cloud Ref: https://en.wikipedia.org/wiki/K-means_clustering. More...

Detailed Description

class for 2D point cloud analysis Uses OpenCV's functionalities

Constructor & Destructor Documentation

stira::common::ClusteringLearning::ClusteringLearning

(

std::vector< Point< double > >

inputPoints

)

constructor

Parameters

inputPoints

cloud of input points to be analysed

Member Function Documentation

std::vector< pointCluster > stira::common::ClusteringLearning::ComputeKMeans

(

std::vector< Point< double > >

clusterCenters

)

K-Means clustering of this 2D point cloud Ref: https://en.wikipedia.org/wiki/K-means_clustering.

Parameters

clusterCenters

vector of initial cluster centroids

Returns

a vector of pointCluster structs, one per cluster

References stira::common::pointCluster::center, and stira::common::pointCluster::members.

PcaResult stira::common::ClusteringLearning::ComputePCA

(

)

PCA analysis of this 2D point cloud (uses OpenCV) Ref: http://docs.opencv.org/3.1.0/d1/dee/tutorial_introduction_to_pca.html.

Returns

a PcaResult struct

References stira::common::PcaResult::center, stira::common::PcaResult::eigenValue, stira::common::PcaResult::vector, stira::common::Point< T >::x, and stira::common::Point< T >::y.

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

• common/common/ClusteringLearning.h
• common/common/ClusteringLearning.cpp