GitHub - lucas26xd/EuclideanClassifiers: Simple classifiers based on Euclidean distance. Tests with two types of signals, using some input attributes such as skewness and kurtosis. Tested classifiers: KNN (K-Nearest Neighbors) and NPC (Nearest Prototype Classifier)

lucas26xd / EuclideanClassifiers Public

Notifications
Fork 0
Star 0

Simple classifiers based on Euclidean distance. Tests with two types of signals, using some input attributes such as skewness and kurtosis. Tested classifiers: KNN (K-Nearest Neighbors) and NPC (Nearest Prototype Classifier)

0 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
AD.m		AD.m
Classe1.mat		Classe1.mat
Classe2.mat		Classe2.mat
KNN.m		KNN.m
K_Fold.m		K_Fold.m
NPC.m		NPC.m
main.m		main.m
padronizar.m		padronizar.m
plotar.m		plotar.m