ck-NN: A Clustered k-Nearest Neighbours Approach for Large-Scale Classification

ck-NN: A Clustered k-Nearest Neighbours Approach for Large-Scale Classification

k-Nearest Neighbor (k-NN) is a non-parametric algorithm widely used for the estimation and classification of data points especially when the dataset is distributed in several classes. It is considered to be a lazy machine learning algorithm as most of the computations are done during the testing pha...

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Bibliographic Details
Main Authors: Rafi ULLAH, Ayaz H. KHAN, S.M. EMADUDDIN
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2020-05-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
k-nearest neighbor classification
k-means clustering
machine learning
artificial intelligence
distributed computing
Online Access:https://revistas.usal.es/index.php/2255-2863/article/view/19381

Internet

https://revistas.usal.es/index.php/2255-2863/article/view/19381

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