This module contains procedures and routines for ellipsoidal partitioning of a given set of points by either minimizing the volumes of the bounding ellipsoids or maximizing their densities, when an estimate of density is provided by the user. More...

Data Types
type	BaseProp_type
	Abstract class containing the basic properties of partitions that are common between the exploration stage and the final output partitions. More...

interface	getPartition_proc

type	KmeansTry_type
	The base class for generating a vector of Kmeans objects that hold the properties of different Kmeans attempts at any given level of partitioning. More...

type	Method_type
	The `Method_type` class for specifying which minimum-volume partitioning method to be used. More...

type	ParProp_type
	The base class for generating objects that hold partition properties at any given level of partitioning based on either volume or density criterion. More...

type	ParPropTry_type
	The subclass for generating objects that hold partition properties at any given level of partitioning based for any partitioning criterion. More...

type	ParPropTryDen_type
	The subclass for generating objects that hold partition properties at any given level of partitioning based on the density criterion. More...

type	ParPropTryVol_type
	The subclass for generating objects that hold partition properties at any given level of partitioning based on the volume criterion. More...

type	Partition_type
	The `Partition_type` abstract class for Partition derived types. Partitions an input array `Point(nd,np)` with `nd` attributes and `np` observations (points). More...

type	PartitionBase_type
	The class for generating objects that hold the final output partition properties. More...

interface	PartitionMaxDen_type
	The `PartitionMaxDen_type` class. More...

interface	PartitionMinVol_type
	The `PartitionMinVol_type` class. More...

interface	write_proc

Functions/Subroutines
real(RK) function, dimension(npmin:npmax)	getBiasCorrectionScaleFactorSq (nd, npmin, npmax)

PURE real(RK) function	getLogLikeFitness (count, logVolRatio)

Variables
character(*, SK), parameter	MODULE_NAME = "@Partition_mod"

Detailed Description

This module contains procedures and routines for ellipsoidal partitioning of a given set of points by either minimizing the volumes of the bounding ellipsoids or maximizing their densities, when an estimate of density is provided by the user.

Author:: Amir Shahmoradi

Function/Subroutine Documentation

◆ getBiasCorrectionScaleFactorSq()

real(RK) function, dimension(npmin:npmax) Partition_mod::getBiasCorrectionScaleFactorSq	(	integer(IK), intent(in)	nd,
		integer(IK), intent(in)	npmin,
		integer(IK), intent(in)	npmax
	)

Warning: This function

Definition at line 498 of file Partition_mod.F90.

◆ getLogLikeFitness()

PURE real(RK) function Partition_mod::getLogLikeFitness	(	integer(IK), intent(in)	count,
		real(RK)	logVolRatio
	)

Definition at line 541 of file Partition_mod.F90.

Variable Documentation

◆ MODULE_NAME

character(*, SK), parameter Partition_mod::MODULE_NAME = "@Partition_mod"

Definition at line 65 of file Partition_mod.F90.

Data Types