A New K-Nearest Neighbors Classifier for Big Data Based on Efficient Data Pruning

A New K-Nearest Neighbors Classifier for Big Data Based on Efficient Data Pruning

The K-nearest neighbors (KNN) machine learning algorithm is a well-known non-parametric classification method. However, like other traditional data mining methods, applying it on big data comes with computational challenges. Indeed, KNN determines the class of a new sample based on the class of its...

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Bibliographic Details
Main Authors: Hamid Saadatfar, Samiyeh Khosravi, Javad Hassannataj Joloudari, Amir Mosavi, Shahaboddin Shamshirband
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Mathematics
Subjects:
k-nearest neighbors
knn
classifier
machine learning
big data
clustering
cluster shape
cluster density
classification
reinforcement learning
machine learning for big data
data science
computation
artificial intelligence
Online Access:https://www.mdpi.com/2227-7390/8/2/286

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https://www.mdpi.com/2227-7390/8/2/286

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