1,306 research outputs found
The effect of progressive heat acclimation on fatigue following intermittent-sprint exercise in the heat:Training and Competing in the Heat Conference, Aspetar, Doha, Qatar
ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
Summary: Unsupervised class discovery is a highly useful technique in cancer research, where intrinsic groups sharing biological characteristics may exist but are unknown. The consensus clustering (CC) method provides quantitative and visual stability evidence for estimating the number of unsupervised classes in a dataset. ConsensusClusterPlus implements the CC method in R and extends it with new functionality and visualizations including item tracking, item-consensus and cluster-consensus plots. These new features provide users with detailed information that enable more specific decisions in unsupervised class discovery
Physiological and perceptual responses in the elderly to simulated daily living activities in UK summer climate conditions:17th International Conference on Environmental Ergonomics (ICEE), Kobe, Japan
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