Aim To evaluate whether isometric strength tests were valid for the purposes of classifying wheelchair racers and whether cluster analysis of the strength measures produced a valid classification ...
This study demonstrates the efficacy of non-invasive data collection and unsupervised learning models in predicting student success, emphasizing the importance of temporal and content-specific ...
Abstract: The k-means clustering algorithm is one of the most commonly used algorithms for clustering analysis. The traditional k-means algorithm is, however, inefficient while working on large ...
Single-cell analysis of CML patients bone marrow at diagnosis reveals coexistence of CD26-CD35+ healthy stem cells and CD26+CD35- CML stem cells, and how the ratio between these impacts TKI response.