📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

FilterK: A new outlier detection method for k-means clustering of physical activity. (2020)

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.jbi.2020.103397

PubMed Identifier: 32113005

Publication URI: http://europepmc.org/abstract/MED/32113005

Type: Journal Article/Review

Volume: 104

Parent Publication: Journal of biomedical informatics

ISSN: 1532-0464