pm_clusDensity.F90 File Reference

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Data Types
type	pm_clusDensity::KvolTry_type
type	pm_clusDensity::ParTry_type
type	pm_clusDensity::KmeansTry_type
interface	pm_clusDensity::partition_type
	The partition_type class. Partitions an input array Point(nd,np) with nd attributes and np observations (points). More...

Modules
module	pm_clusDensity
	This module contains procedures and routines for finding the minimum-volume bounding ellipsoid partitioning of a given set of points by minimizing the volumes of the ellipsoids and comparing them against their parents. Monday 2:37 am, March 28, 2021, Dallas, TX Saturday 00:37 am, March 13, 2021, Dallas, TX Saturday 02:37 am, May 31, 2021, Dallas, TX Tuesday 2:13 am, March 10, 2021, Dallas, TX.

Functions/Subroutines
function	pm_clusDensity::partition_typer (Point, nc, nt, nsim, nemax, minSize, stanEnabled, trimEnabled, kmeansRelTol, logExpansion, logShrinkage if MINVOL_ENABLED
	This function can serve as the constructor for partition_type while also performing the partitioning for the first time. Construct a hierarchical partitioning of the input Point using a combination of Kmeans, Kvolume, and density maximization algorithms. More...
subroutine	pm_clusDensity::runPartition (Partition, Point, parentLogVolNormed)
	This procedure is a method of the class partition_type. Perform recursive clustering of the input Point(nd,np). More...
PURE real(RK) function	pm_clusDensity::getLogLikeFitness (count, logVolRatio)
real(RK) function, dimension(npmin:npmax)	pm_clusDensity::getBiasCorrectionScaleFactorSq (nd, npmin, npmax)
subroutine	pm_clusDensity::writePartition (Partition, fileUnit, Point)

Variables
character(*, SK), parameter	pm_clusDensity::MODULE_NAME = "@pm_clusDensity"
real(RK), parameter	pm_clusDensity::POSINF = +huge(0._RK) / 10
real(RK), parameter	pm_clusDensity::NEGINF = -huge(0._RK) / 10