A novel clustering algorithm for time-series data based on precise correlation coefficient matching in the IoT

DOI10.3934/MBE.2019331zbMath1470.93061OpenAlexW2963703264WikidataQ91167839 ScholiaQ91167839MaRDI QIDQ2045468

Hai-Bo Li, Juncheng Tong

Publication date: 13 August 2021

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2019331

zbMATH Keywords

time seriesclusteringPearson correlation coefficientInternet of Thingsprecise matching

Mathematics Subject Classification ID

Control/observation systems involving computers (process control, etc.) (93C83) Time-scale analysis and singular perturbations in control/observation systems (93C70) Networked control (93B70)

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Cites Work

• The internet of things: a survey
• A negative correlation ensemble transfer learning method for fault diagnosis based on convolutional neural network
• Algebraic secret sharing using privacy homomorphisms for IoT-based healthcare systems
• Verifiable fully outsourced attribute-based signcryption system for IoT eHealth big data in cloud computing
• Using multiple time series analysis for geosensor data forecasting
• Well-Separated Clusters and Optimal Fuzzy Partitions
• On clustering validation techniques

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