StatFeature::Type Struct Reference

Enumeration defining different cell feature types (used by opalsCell) More...

#include "_StatFeature.hpp"

Public Types
enum	Enum {   unknown = -1, min = 0, max, range,   nmin, nmax, mean, median,   sum, stdDev, variance, rms,   stdDevMAD, minority, majority, pdens,   pcount, quantile, shannonEntropy, quadraticEntropy,   center, rank, posOpenness, negOpenness,   pdist, null, Count }

Detailed Description

Enumeration defining different cell feature types (used by opalsCell)

Used for indexing. Hence unscoped, with implicit conversion to int.

Member Enumeration Documentation

Enum

enum Enum

Enumerator
min	lowest
max	highest
range	difference between highest and lowest
nmin	n lowest
nmax	n highest
mean	mean
median	median
sum	sum
stdDev	standard deviation $\sqrt{\sum_{i=1}^{N}(r_i - \bar{r})^2 / (N-1) }$
variance	(sample) variance $\sum_{i=1}^{N}(r_i - \bar{r})^2 / (N-1)$
rms	root mean square $\sqrt{\sum_{i=1}^{N} r_i^2 / N}$
stdDevMAD	robust standard deviation estimator computed from the median of absolute deviations from the median $1.4826 \cdot median_i(\left|r_i - median_j(r_j)\right|)$. In literature this robust estimator is often referred to as normalized MAD (NMAD)
minority	the class with the lowest relative frequency (histogram based)
majority	the class with the highest relative frequency (histogram based)
pdens	point density
pcount	point count
quantile	p-quantile (p=0..1)
shannonEntropy	shannon entropy, measure of information content
quadraticEntropy	quadratic entropy, measure of information content
center	select closest to cell center
rank	quantile rank [0..100]
posOpenness	positive openness
negOpenness	negative openness
pdist	average linear point distance (see DM::ILinearDistance2D for details)
null	respresenting void feature
Count	number of available StatFeatures