Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy
Author:
Affiliation:
1. Department for Health, University of Bath, Bath, UK
2. Department of Computer Science, University of Bath, Bath, UK
3. School of Health and Life Sciences, Teesside University, Middlesbrough, UK
Funder
University of Bath
NURVV, Ltd
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/14763141.2024.2372608
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1. Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes
2. Use of self-organizing maps to study sex- and speed-dependent changes in running biomechanics
3. The effects of frequency of encouragement on performance during maximal exercise testing
4. An extensive comparative study of cluster validity indices
5. Partitioning the Metabolic Cost of Human Running: A Task-by-Task Approach
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