Positive and Negative Evidence Accumulation Clustering for Sensor Fusion: An Application to Heartbeat Clustering

Positive and Negative Evidence Accumulation Clustering for Sensor Fusion: An Application to Heartbeat Clustering

In this work, a new clustering algorithm especially geared towards merging data arising from multiple sensors is presented. The algorithm, called PN-EAC, is based on the ensemble clustering paradigm and it introduces the novel concept of negative evidence. PN-EAC combines both positive evidence, to...

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Bibliographic Details
Main Authors: David G. Márquez, Paulo Félix, Constantino A. García, Javier Tejedor, Ana L.N. Fred, Abraham Otero
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
sensor fusion
clustering
evidence accumulation
fusion techniques
machine learning
ecg
multilead clustering
heartbeat clustering
multimodal clustering
Online Access:https://www.mdpi.com/1424-8220/19/21/4635

Internet

https://www.mdpi.com/1424-8220/19/21/4635

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