This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2410) Innovations and Technology for Physical Activity Education (742) mHealth for Wellness, Behavior Change and Prevention (2871) mHealth for Data Collection and Research (955)

Published on in Vol 6, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30149, first published .
Data-Driven User-Type Clustering of a Physical Activity Promotion App: Usage Data Analysis Study

Data-Driven User-Type Clustering of a Physical Activity Promotion App: Usage Data Analysis Study

Data-Driven User-Type Clustering of a Physical Activity Promotion App: Usage Data Analysis Study

Authors of this article:

Christina Kranzinger1 Author Orcid Image ;   Verena Venek1 Author Orcid Image ;   Harald Rieser1 Author Orcid Image ;   Sonja Jungreitmayr2 Author Orcid Image ;   Susanne Ring-Dimitriou2 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Saleh M. Evaluation of Jenks Natural Breaks Clustering Algorithm for Changepoint Identification in Streaming Sensor Data. IEEE Sensors Letters 2024;8(10):1 View