Utilizing Data Clustering for Hypotheses Discovery in Multimodal Exercise and Health Interventions with Limited Sample Size.
Mckay RussellGuanrong CaiSteven MerinoClemente RodríguezZachary ScholefieldJared MooreGeorge SalemChengwei LeiPublished in: ICCBB (2022)
Keyphrases
- data clustering
- sample size
- model selection
- unsupervised learning
- cluster analysis
- k means
- clustering algorithm
- spectral clustering
- statistical power
- upper bound
- covariance matrix
- statistical hypothesis testing
- small samples
- worst case
- random sampling
- variance reduction
- deterministic annealing
- progressive sampling
- small sample
- data mining
- clustering ensemble
- knowledge discovery
- optimality conditions