A feature grouping algorithm for unlabeled data. More...

#include <OpenMS/ANALYSIS/MAPMATCHING/FeatureGroupingAlgorithmKD.h>

Inheritance diagram for FeatureGroupingAlgorithmKD:

Public Member Functions
	FeatureGroupingAlgorithmKD ()
	Default constructor. More...

virtual	~FeatureGroupingAlgorithmKD ()
	Destructor. More...

virtual void	group (const std::vector< FeatureMap > &maps, ConsensusMap &out)
	Applies the algorithm to feature maps. More...

virtual void	group (const std::vector< ConsensusMap > &maps, ConsensusMap &out)
	Applies the algorithm to consensus maps. More...

Public Member Functions inherited from FeatureGroupingAlgorithm
	FeatureGroupingAlgorithm ()
	Default constructor. More...

virtual	~FeatureGroupingAlgorithm ()
	Destructor. More...

void	transferSubelements (const std::vector< ConsensusMap > &maps, ConsensusMap &out) const
	Transfers subelements (grouped features) from input consensus maps to the result consensus map. More...

Public Member Functions inherited from DefaultParamHandler
	DefaultParamHandler (const String &name)
	Constructor with name that is displayed in error messages. More...

	DefaultParamHandler (const DefaultParamHandler &rhs)
	Copy constructor. More...

virtual	~DefaultParamHandler ()
	Destructor. More...

virtual DefaultParamHandler &	operator= (const DefaultParamHandler &rhs)
	Assignment operator. More...

virtual bool	operator== (const DefaultParamHandler &rhs) const
	Equality operator. More...

void	setParameters (const Param &param)
	Sets the parameters. More...

const Param &	getParameters () const
	Non-mutable access to the parameters. More...

const Param &	getDefaults () const
	Non-mutable access to the default parameters. More...

const String &	getName () const
	Non-mutable access to the name. More...

void	setName (const String &name)
	Mutable access to the name. More...

const std::vector< String > &	getSubsections () const
	Non-mutable access to the registered subsections. More...

Public Member Functions inherited from ProgressLogger
	ProgressLogger ()
	Constructor. More...

	~ProgressLogger ()
	Destructor. More...

	ProgressLogger (const ProgressLogger &other)
	Copy constructor. More...

ProgressLogger &	operator= (const ProgressLogger &other)
	Assignment Operator. More...

void	setLogType (LogType type) const
	Sets the progress log that should be used. The default type is NONE! More...

LogType	getLogType () const
	Returns the type of progress log being used. More...

void	startProgress (SignedSize begin, SignedSize end, const String &label) const
	Initializes the progress display. More...

void	setProgress (SignedSize value) const
	Sets the current progress. More...

void	endProgress () const
	Ends the progress display. More...

Static Public Member Functions
static FeatureGroupingAlgorithm *	create ()
	Creates a new instance of this class (for Factory) More...

static String	getProductName ()
	Returns the product name (for the Factory) More...

Static Public Member Functions inherited from FeatureGroupingAlgorithm
static void	registerChildren ()
	Register all derived classes in this method. More...

Private Member Functions
	FeatureGroupingAlgorithmKD (const FeatureGroupingAlgorithmKD &)
	Copy constructor intentionally not implemented -> private. More...

FeatureGroupingAlgorithmKD &	operator= (const FeatureGroupingAlgorithmKD &)
	Assignment operator intentionally not implemented -> private. More...

template<typename MapType >
void	group_ (const std::vector< MapType > &input_maps, ConsensusMap &out)
	Applies the algorithm to feature or consensus maps. More...

void	runClustering_ (const KDTreeFeatureMaps &kd_data, ConsensusMap &out)
	Run the actual clustering algorithm. More...

void	updateClusterProxies_ (std::set< ClusterProxyKD > &potential_clusters, std::vector< ClusterProxyKD > &cluster_for_idx, const std::set< Size > &update_these, const std::vector< Int > &assigned, const KDTreeFeatureMaps &kd_data)
	Update maximum possible sizes of potential consensus features for indices specified in `update_these`. More...

ClusterProxyKD	computeBestClusterForCenter_ (Size i, std::vector< Size > &cf_indices, const std::vector< Int > &assigned, const KDTreeFeatureMaps &kd_data) const
	Compute the current best cluster with center index `i` (mutates `proxy` and `cf_indices`) More...

void	addConsensusFeature_ (const std::vector< Size > &indices, const KDTreeFeatureMaps &kd_data, ConsensusMap &out) const
	Construct consensus feature and add to out map. More...

Private Attributes
SignedSize	progress_
	Current progress for logging. More...

double	rt_tol_secs_
	RT tolerance. More...

double	mz_tol_
	m/z tolerance More...

bool	mz_ppm_
	m/z unit ppm? More...

FeatureDistance	feature_distance_
	Feature distance functor. More...

Additional Inherited Members
Public Types inherited from ProgressLogger
enum	LogType { CMD, GUI, NONE }
	Possible log types. More...

Protected Member Functions inherited from DefaultParamHandler
virtual void	updateMembers_ ()
	This method is used to update extra member variables at the end of the setParameters() method. More...

void	defaultsToParam_ ()
	Updates the parameters after the defaults have been set in the constructor. More...

Static Protected Member Functions inherited from ProgressLogger
static String	logTypeToFactoryName_ (LogType type)
	Return the name of the factory product used for this log type. More...

Protected Attributes inherited from DefaultParamHandler
Param	param_
	Container for current parameters. More...

Param	defaults_
	Container for default parameters. This member should be filled in the constructor of derived classes! More...

std::vector< String >	subsections_
	Container for registered subsections. This member should be filled in the constructor of derived classes! More...

String	error_name_
	Name that is displayed in error messages during the parameter checking. More...

bool	check_defaults_
	If this member is set to false no checking if parameters in done;. More...

bool	warn_empty_defaults_
	If this member is set to false no warning is emitted when defaults are empty;. More...

Protected Attributes inherited from ProgressLogger
LogType	type_

time_t	last_invoke_

ProgressLoggerImpl *	current_logger_

Static Protected Attributes inherited from ProgressLogger
static int	recursion_depth_

Detailed Description

A feature grouping algorithm for unlabeled data.

The algorithm takes a number of feature or consensus maps and searches for corresponding (consensus) features across different maps.

Constructor & Destructor Documentation

◆ FeatureGroupingAlgorithmKD() [1/2]

FeatureGroupingAlgorithmKD ( )

Default constructor.

◆ ~FeatureGroupingAlgorithmKD()

virtual ~FeatureGroupingAlgorithmKD ( )

virtual

Destructor.

◆ FeatureGroupingAlgorithmKD() [2/2]

FeatureGroupingAlgorithmKD ( const FeatureGroupingAlgorithmKD & )

private

Copy constructor intentionally not implemented -> private.

Member Function Documentation

◆ addConsensusFeature_()

void addConsensusFeature_	(	const std::vector< Size > &	indices,
		const KDTreeFeatureMaps &	kd_data,
		ConsensusMap &	out
	)		const

private

Construct consensus feature and add to out map.

◆ computeBestClusterForCenter_()

ClusterProxyKD computeBestClusterForCenter_	(	Size	i,
		std::vector< Size > &	cf_indices,
		const std::vector< Int > &	assigned,
		const KDTreeFeatureMaps &	kd_data
	)		const

private

Compute the current best cluster with center index i (mutates proxy and cf_indices)

◆ create()

static FeatureGroupingAlgorithm* create ( )

inlinestatic

Creates a new instance of this class (for Factory)

◆ getProductName()

static String getProductName ( )

inlinestatic

Returns the product name (for the Factory)

◆ group() [1/2]

virtual void group	(	const std::vector< FeatureMap > &	maps,
		ConsensusMap &	out
	)

virtual

Applies the algorithm to feature maps.

Exceptions

IllegalArgument is thrown if less than two input maps are given.

Implements FeatureGroupingAlgorithm.

◆ group() [2/2]

virtual void group	(	const std::vector< ConsensusMap > &	maps,
		ConsensusMap &	out
	)

virtual

Applies the algorithm to consensus maps.

Exceptions

IllegalArgument is thrown if less than two input maps are given.

Reimplemented from FeatureGroupingAlgorithm.

◆ group_()

void group_	(	const std::vector< MapType > &	input_maps,
		ConsensusMap &	out
	)

private

Applies the algorithm to feature or consensus maps.

Exceptions

IllegalArgument is thrown if less than two input maps are given.

◆ operator=()

FeatureGroupingAlgorithmKD& operator= ( const FeatureGroupingAlgorithmKD & )

private

Assignment operator intentionally not implemented -> private.

◆ runClustering_()

void runClustering_	(	const KDTreeFeatureMaps &	kd_data,
		ConsensusMap &	out
	)

private

Run the actual clustering algorithm.

◆ updateClusterProxies_()

void updateClusterProxies_	(	std::set< ClusterProxyKD > &	potential_clusters,
		std::vector< ClusterProxyKD > &	cluster_for_idx,
		const std::set< Size > &	update_these,
		const std::vector< Int > &	assigned,
		const KDTreeFeatureMaps &	kd_data
	)

private

Update maximum possible sizes of potential consensus features for indices specified in update_these.

Member Data Documentation

◆ feature_distance_

FeatureDistance feature_distance_

private

Feature distance functor.

◆ mz_ppm_

bool mz_ppm_

private

m/z unit ppm?

◆ mz_tol_

double mz_tol_

private

m/z tolerance

◆ progress_

SignedSize progress_

private

Current progress for logging.

◆ rt_tol_secs_

double rt_tol_secs_

private

RT tolerance.

Public Member Functions

Static Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ FeatureGroupingAlgorithmKD() [1/2]

◆ ~FeatureGroupingAlgorithmKD()

◆ FeatureGroupingAlgorithmKD() [2/2]

Member Function Documentation

◆ addConsensusFeature_()

◆ computeBestClusterForCenter_()

◆ create()

◆ getProductName()

◆ group() [1/2]

◆ group() [2/2]

◆ group_()

◆ operator=()

◆ runClustering_()

◆ updateClusterProxies_()

Member Data Documentation

◆ feature_distance_

◆ mz_ppm_

◆ mz_tol_

◆ progress_

◆ rt_tol_secs_