Unsupervised manifold learning of collective behavior
Mathew Titus, George I. Hagstrom, James R. Watson
This paper introduces an unsupervised method to detect and classify collective behavior in complex systems using diffusion maps and covariance analysis, applied to fish schooling data.
PLoS Computational Biology · Feb 12, 2021Peer-reviewedBioinformatics