Weighted kNN and constrained elastic distances for time-series classification

•The weighted k-nearest neighbor rule outperforms the 1-nearest neighbor classifier.•Recommendations for choosing weighting schemes.•Recommendations for choosing the constraint width r and the neighborhood size k. Time-series classification has been addressed by a plethora of machine-learning techni...

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Veröffentlicht in:	Expert systems with applications Jg. 162; S. 113829
Hauptverfasser:	Geler, Zoltan, Kurbalija, Vladimir, Ivanović, Mirjana, Radovanović, Miloš
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 30.12.2020 Elsevier BV
Schlagworte:	1-Nearest neighbor Bayesian analysis Classification Classifiers Constraints Distance measurement Elastic distance measures k-Nearest neighbor K-nearest neighbors algorithm Machine learning Neural networks Support vector machines Time series Weighted k-nearest neighbor Weighting Elastic distance measures 1-Nearest neighbor Weighted k-nearest neighbor Time series Classification k-Nearest neighbor
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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