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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Veröffentlicht in:	Entropy (Basel, Switzerland) Jg. 25; H. 1; S. 127
Hauptverfasser:	Feng, Congcong, Zhao, Bo, Zhou, Xin, Ding, Xiaodong, Shan, Zheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 08.01.2023 MDPI
Schlagworte:	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-Zugang:	Volltext
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