Machine learning for lumbar and pelvis kinematics clustering
S. M. Higgins, S. Dutta, R. S. Kakar
The paper evaluates clustering algorithms for time-series lumbar and pelvis kinematic data, finding that multiple evaluation methods are needed to determine the optimal number of clusters and algorithm.
bioRxiv · May 23, 2022 · PreprintPhysiology