Performs analysis of output dynamic of the oscillatory network syncnet to extract information about cluster allocation. More...

Inheritance diagram for pyclustering.cluster.syncnet.syncnet_analyser:

Collaboration diagram for pyclustering.cluster.syncnet.syncnet_analyser:

Public Member Functions
def	__init__ (self, phase, time, pointer_sync_analyser)
	Constructor of the analyser. More...

def	__del__ (self)
	Desctructor of the analyser.

def	allocate_clusters (self, eps=0.01, indexes=None, iteration=None)
	Returns list of clusters in line with state of oscillators (phases). More...

def	get_cluster_encoding (self)
	Returns clustering result representation type that indicate how clusters are encoded. More...

Public Member Functions inherited from pyclustering.nnet.sync.sync_dynamic
def	output (self)
	(list) Returns output dynamic of the Sync network (phase coordinates of each oscillator in the network) during simulation.

def	time (self)
	(list) Returns sampling times when dynamic is measured during simulation.

def	__len__ (self)
	Returns number of simulation steps that are stored in dynamic. More...

def	__getitem__ (self, index)
	Indexing of the dynamic.

def	allocate_sync_ensembles (self, tolerance=0.01, indexes=None, iteration=None)
	Allocate clusters in line with ensembles of synchronous oscillators where each synchronous ensemble corresponds to only one cluster. More...

def	allocate_phase_matrix (self, grid_width=None, grid_height=None, iteration=None)
	Returns 2D matrix of phase values of oscillators at the specified iteration of simulation. More...

def	allocate_correlation_matrix (self, iteration=None)
	Allocate correlation matrix between oscillators at the specified step of simulation. More...

def	calculate_order_parameter (self, start_iteration=None, stop_iteration=None)
	Calculates level of global synchorization (order parameter). More...

def	calculate_local_order_parameter (self, oscillatory_network, start_iteration=None, stop_iteration=None)
	Calculates local order parameter. More...

Detailed Description

Performs analysis of output dynamic of the oscillatory network syncnet to extract information about cluster allocation.

Definition at line 30 of file syncnet.py.

Constructor & Destructor Documentation

◆ init()

def pyclustering.cluster.syncnet.syncnet_analyser.__init__	(	self,
		phase,
		time,
		pointer_sync_analyser
	)

Constructor of the analyser.

Parameters

[in]	phase	(list): Output dynamic of the oscillatory network, where one iteration consists of all phases of oscillators.
[in]	time	(list): Simulation time.
[in]	pointer_sync_analyser	(POINTER): Pointer to CCORE analyser, if specified then other arguments can be omitted.

Reimplemented from pyclustering.nnet.sync.sync_dynamic.

Definition at line 36 of file syncnet.py.

Member Function Documentation

◆ allocate_clusters()

def pyclustering.cluster.syncnet.syncnet_analyser.allocate_clusters	(	self,
		eps = `0.01`,
		indexes = `None`,
		iteration = `None`
	)

Returns list of clusters in line with state of oscillators (phases).

Parameters

[in]	eps	(double): Tolerance that defines the maximum difference between phases of oscillators that belong to one cluster.
[in]	indexes	(list): List of real object indexes and it should be equal to amount of oscillators (in case of 'None' - indexes are in range [0; amount_oscillators]).
[in]	iteration	(uint): Iteration of simulation that should be used for allocation.

Returns: (list) List of clusters, for example [ [cluster1], [cluster2], ... ].)

Definition at line 59 of file syncnet.py.

Referenced by pyclustering.gcolor.hysteresis.hysteresis_analyser.allocate_map_coloring().

◆ get_cluster_encoding()

def pyclustering.cluster.syncnet.syncnet_analyser.get_cluster_encoding ( self )

Returns clustering result representation type that indicate how clusters are encoded.

Returns: (type_encoding) Clustering result representation.

See also: get_clusters()

Definition at line 74 of file syncnet.py.

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

pyclustering/cluster/syncnet.py