Nearest neighbour classification techniques, particularly the k‐nearest neighbour (kNN) algorithm, have long been valued for their simplicity and effectiveness in pattern recognition and data ...

We consider classification of functional data when the training curves are not observed on the same interval. Different types of classifier are suggested, one of which involves a new curve extension ...

The objectives of the present study were to understand the scattering behaviour of different land-cover classes and evaluate the feasibility of Polarimetrie SAR data classification methods in forest ...