An Enhanced Quantum K-Nearest Neighbor Classification Algorithm Based on Polar Distance

The K-nearest neighbor (KNN) algorithm is one of the most extensively used classification algorithms, while its high time complexity limits its performance in the era of big data. The quantum K-nearest neighbor (QKNN) algorithm can handle the above problem with satisfactory efficiency; however, its...

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Bibliographic Details
Published in:	Entropy (Basel, Switzerland) Vol. 25; no. 1; p. 127
Main Authors:	Feng, Congcong, Zhao, Bo, Zhou, Xin, Ding, Xiaodong, Shan, Zheng
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 08.01.2023 MDPI
Subjects:	Accuracy Algorithms Artificial intelligence Big Data Classification Euclidean geometry K-nearest neighbor algorithm K-nearest neighbors algorithm Machine learning Polar coordinates quantum computation quantum K-nearest neighbor algorithm quantum machine learning Similarity Similarity measures quantum K-nearest neighbor algorithm quantum machine learning K-nearest neighbor algorithm quantum computation
ISSN:	1099-4300, 1099-4300
Online Access:	Get full text
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