pyclustering.cluster.bang.spatial_block Class Reference

Geometrical description of BANG block in data space. More...

Public Member Functions
def	__init__ (self, max_corner, min_corner)
	Creates spatial block in data space. More...
def	__str__ (self)
	Returns string block description. More...
def	__contains__ (self, point)
	Point is considered as contained if it lies in block (belong to it). More...
def	get_corners (self)
	Return spatial description of current block. More...
def	get_volume (self)
	Returns volume of current block. More...
def	split (self, dimension)
	Split current block into two spatial blocks in specified dimension. More...
def	is_neighbor (self, block)
	Performs calculation to identify whether specified block is neighbor of current block. More...

Detailed Description

Geometrical description of BANG block in data space.

Provides services related to spatial functionality and used by bang_block

See also

bang_block

Definition at line 599 of file bang.py.

Constructor & Destructor Documentation

__init__()

def pyclustering.cluster.bang.spatial_block.__init__	(		self,
			max_corner,
			min_corner
	)

Creates spatial block in data space.

Parameters

[in]	max_corner	(array_like): Maximum corner coordinates of the block.
[in]	min_corner	(array_like): Minimal corner coordinates of the block.

Definition at line 608 of file bang.py.

Member Function Documentation

__contains__()

def pyclustering.cluster.bang.spatial_block.__contains__	(		self,
			point
	)

Point is considered as contained if it lies in block (belong to it).

Returns

(bool) True if point is in block, otherwise False.

Definition at line 631 of file bang.py.

__str__()

def pyclustering.cluster.bang.spatial_block.__str__

(

self

)

Returns string block description.

Returns

String representation of the block.

Definition at line 621 of file bang.py.

get_corners()

def pyclustering.cluster.bang.spatial_block.get_corners

(

self

)

Return spatial description of current block.

Returns

(tuple) Pair of maximum and minimum corners (max_corner, min_corner).

Definition at line 645 of file bang.py.

get_volume()

def pyclustering.cluster.bang.spatial_block.get_volume

(

self

)

Returns volume of current block.

Volume block has uncommon mining here: for 1D is length of a line, for 2D is square of rectangle, for 3D is volume of 3D figure, and for ND is volume of ND figure.

Returns

(double) Volume of current block.

Definition at line 655 of file bang.py.

is_neighbor()

def pyclustering.cluster.bang.spatial_block.is_neighbor	(		self,
			block
	)

Performs calculation to identify whether specified block is neighbor of current block.

It also considers diagonal blocks as neighbors.

Parameters

[in]

block

(spatial_block): Another block that is check whether it is neighbor.

Returns

(bool) True is blocks are neighbors, False otherwise.

Definition at line 687 of file bang.py.

split()

def pyclustering.cluster.bang.spatial_block.split	(		self,
			dimension
	)

Split current block into two spatial blocks in specified dimension.

Parameters

[in]

dimension

(uint): Dimension where current block should be split.

Returns

(tuple) Pair of new split blocks from current block.

Definition at line 667 of file bang.py.

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

• pyclustering/cluster/bang.py