Advancing Health-Related Cluster Analysis Methodology: Quantification of Pairwise Activity Cluster Similarities | Zendy

Katia Ferrar | Zendy; Carol Maher | Zendy; John Petkov | Zendy; Tim Olds | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Advancing Health-Related Cluster Analysis Methodology: Quantification of Pairwise Activity Cluster Similarities

Author(s) -

Katia Ferrar,

Carol Maher,

John Petkov,

Tim Olds

Publication year - 2014

Publication title -

journal of physical activity and health

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.787

H-Index - 73

eISSN - 1543-5474

pISSN - 1543-3080

DOI - 10.1123/jpah.2014-0008

Subject(s) - pairwise comparison , similarity (geometry) , centroid , cluster (spacecraft) , strengths and weaknesses , radar , computer science , psychology , geography , artificial intelligence , social psychology , image (mathematics) , telecommunications , programming language

To date, most health-related time-use research has investigated behaviors in isolation; more recently, however, researchers have begun to conceptualize behaviors in the form of multidimensional patterns or clusters.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research