pyclustering.container.cftree.cfentry Class Reference

Clustering feature representation. More...

Public Member Functions
def	number_points (self)
	Returns number of points that are encoded. More...
def	linear_sum (self)
	Returns linear sum. More...
def	square_sum (self)
	Returns square sum. More...
def	__init__ (self, number_points, linear_sum, square_sum)
	CF-entry constructor. More...
def	__copy__ (self)
def	__repr__ (self)
def	__str__ (self)
	Default cfentry string representation.
def	__add__ (self, entry)
	Overloaded operator add. More...
def	__eq__ (self, entry)
	Overloaded operator eq. More...
def	get_distance (self, entry, type_measurement)
	Calculates distance between two clusters in line with measurement type. More...
def	get_centroid (self)
	Calculates centroid of cluster that is represented by the entry. More...
def	get_radius (self)
	Calculates radius of cluster that is represented by the entry. More...
def	get_diameter (self)
	Calculates diameter of cluster that is represented by the entry. More...

Detailed Description

Clustering feature representation.

See also

cfnode

cftree

Definition at line 66 of file cftree.py.

Constructor & Destructor Documentation

__init__()

def pyclustering.container.cftree.cfentry.__init__	(		self,
			number_points,
			linear_sum,
			square_sum
	)

CF-entry constructor.

Parameters

[in]	number_points	(uint): Number of objects that is represented by the entry.
[in]	linear_sum	(list): Linear sum of values that represent objects in each dimension.
[in]	square_sum	(double): Square sum of values that represent objects.

Definition at line 107 of file cftree.py.

Member Function Documentation

__add__()

def pyclustering.container.cftree.cfentry.__add__	(		self,
			entry
	)

Overloaded operator add.

Performs addition of two clustering features.

Parameters

[in]

entry

(cfentry): Entry that is added to the current.

Returns

(cfentry) Result of addition of two clustering features.

Definition at line 151 of file cftree.py.

__copy__()

def pyclustering.container.cftree.cfentry.__copy__

(

self

)

Returns

(cfentry) Makes copy of the CF-entry instance.

Definition at line 126 of file cftree.py.

__eq__()

def pyclustering.container.cftree.cfentry.__eq__	(		self,
			entry
	)

Overloaded operator eq.

Performs comparison of two clustering features.

Parameters

[in]

entry

(cfentry): Entry that is used for comparison with current.

Returns

(bool) True is both clustering features are equals in line with tolerance, otherwise False.

Definition at line 168 of file cftree.py.

__repr__()

def pyclustering.container.cftree.cfentry.__repr__

(

self

)

Returns

(string) Returns CF-entry representation.

Definition at line 134 of file cftree.py.

Referenced by pyclustering.container.cftree.cfentry.__str__(), pyclustering.container.kdtree.node.__str__(), pyclustering.container.cftree.cfnode.__str__(), pyclustering.container.cftree.non_leaf_node.__str__(), and pyclustering.container.cftree.leaf_node.__str__().

get_centroid()

def pyclustering.container.cftree.cfentry.get_centroid

(

self

)

Calculates centroid of cluster that is represented by the entry.

It's calculated once when it's requested after the last changes.

Returns

(array_like) Centroid of cluster that is represented by the entry.

Definition at line 224 of file cftree.py.

Referenced by pyclustering.container.cftree.cfentry.get_distance(), and pyclustering.container.cftree.cfentry.get_radius().

get_diameter()

def pyclustering.container.cftree.cfentry.get_diameter

(

self

)

Calculates diameter of cluster that is represented by the entry.

It's calculated once when it's requested after the last changes.

Returns

(double) Diameter of cluster that is represented by the entry.

Definition at line 263 of file cftree.py.

Referenced by pyclustering.container.cftree.cfentry.__repr__().

get_distance()

def pyclustering.container.cftree.cfentry.get_distance	(		self,
			entry,
			type_measurement
	)

Calculates distance between two clusters in line with measurement type.

In case of usage CENTROID_EUCLIDIAN_DISTANCE square euclidian distance will be returned. Square root should be taken from the result for obtaining real euclidian distance between entries.

Parameters

[in]	entry	(cfentry): Clustering feature to which distance should be obtained.
[in]	type_measurement	(measurement_type): Distance measurement algorithm between two clusters.

Returns

(double) Distance between two clusters.

Definition at line 190 of file cftree.py.

get_radius()

def pyclustering.container.cftree.cfentry.get_radius

(

self

)

Calculates radius of cluster that is represented by the entry.

It's calculated once when it's requested after the last changes.

Returns

(double) Radius of cluster that is represented by the entry.

Definition at line 240 of file cftree.py.

linear_sum()

def pyclustering.container.cftree.cfentry.linear_sum

(

self

)

Returns linear sum.

Returns

(list) Linear sum.

Definition at line 86 of file cftree.py.

Referenced by pyclustering.container.cftree.cfentry.__add__(), pyclustering.container.cftree.cfentry.__eq__(), pyclustering.container.cftree.cfentry.__repr__(), pyclustering.container.cftree.cfentry.get_centroid(), pyclustering.container.cftree.cfentry.get_diameter(), and pyclustering.container.cftree.cfentry.get_radius().

number_points()

def pyclustering.container.cftree.cfentry.number_points

(

self

)

Returns number of points that are encoded.

Returns

(uint) Number of encoded points.

Definition at line 76 of file cftree.py.

Referenced by pyclustering.container.cftree.cfentry.__add__(), pyclustering.container.cftree.cfentry.__repr__(), pyclustering.container.cftree.cfentry.get_centroid(), pyclustering.container.cftree.cfentry.get_diameter(), and pyclustering.container.cftree.cfentry.get_radius().

square_sum()

def pyclustering.container.cftree.cfentry.square_sum

(

self

)

Returns square sum.

Returns

(double) Square sum.

Definition at line 97 of file cftree.py.

Referenced by pyclustering.container.cftree.cfentry.__add__(), pyclustering.container.cftree.cfentry.__eq__(), pyclustering.container.cftree.cfentry.get_diameter(), and pyclustering.container.cftree.cfentry.get_radius().

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

• pyclustering/container/cftree.py