Results 241 to 250 of about 312,403 (279)
Some of the next articles are maybe not open access.
Hybrid k -Nearest Neighbor Classifier.
IEEE transactions on cybernetics, 2017Conventional k -nearest neighbor (KNN) classification approaches have several limitations when dealing with some problems caused by the special datasets, such as the sparse problem, the imbalance problem, and the noise problem. In this paper, we first perform a brief survey on the recent progress of the KNN classification approaches.
Zhiwen, Yu +5 more
openaire +1 more source
Electrical load forecasting: A deep learning approach based on K-nearest neighbors
Applied Soft Computing Journal, 2021Xuejiao
exaly
Ensemble k-nearest neighbors based on centroid displacement
Information Sciences, 2023Alex X. Wang, Binh P Nguyen
exaly

