WINkNN: Windowed Intervals’ Number kNN Classifier for Efficient Time-Series Applications

WINkNN: Windowed Intervals’ Number kNN Classifier for Efficient Time-Series Applications

Our interest is in time series classification regarding cyber–physical systems (CPSs) with emphasis in human-robot interaction. We propose an extension of the k nearest neighbor (kNN) classifier to time-series classification using intervals’ numbers (INs). More specifically, we partition a time-seri...

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Bibliographic Details
Main Authors: Chris Lytridis, Anna Lekova, Christos Bazinas, Michail Manios, Vassilis G. Kaburlasos
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Mathematics
Subjects:
audio signal
big data
cyber–physical system (cps)
electroencephalography (eeg) signal
human-robot interaction (hri)
intervals’ number (in)
knn classification
time-series
Online Access:https://www.mdpi.com/2227-7390/8/3/413

Internet

https://www.mdpi.com/2227-7390/8/3/413

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