\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)
CGAL 4.13.2 - Classification

Classifiers are functors that, given a label set and an input item, associate this input item with an energy for each label.

This energy measures the likelihood of the item to belong to this label.

Classes

class  CGAL::Classification::Sum_of_weighted_features_classifier
 Classifier based on the sum of weighted features with user-defined effects on labels. More...
 
class  CGAL::Classification::OpenCV_random_forest_classifier
 Classifier based on the OpenCV version of random forest algorithm. More...
 
class  CGAL::Classification::ETHZ_random_forest_classifier
 Classifier based on the ETH Zurich version of random forest algorithm [2]. More...