no code implementations • 3 Feb 2021 • Maia Angelova, Philip M. Holloway, Sergiy Shelyag, Sutharshan Rajasegarar, H. G. Laurie Rauch
Synchrogram and empirical mode decomposition analysis were used for the first time to investigate the effects of physical stress, induced by the Ironmen competition, on the phase synchronization of the cardiac and respiratory systems of Ironmen athletes before and after the competition.
1 code implementation • 8 Oct 2018 • Ye Zhu, Kai Ming Ting, Yuan Jin, Maia Angelova
This paper focuses on density-based clustering, particularly the Density Peak (DP) algorithm and the one based on density-connectivity DBSCAN; and proposes a new method which takes advantage of the individual strengths of these two methods to yield a density-based hierarchical clustering algorithm.
1 code implementation • 5 Oct 2018 • Ye Zhu, Kai Ming Ting, Mark Carman, Maia Angelova
To match the implicit assumption, we propose to transform a given dataset such that the transformed clusters have approximately the same density while all regions of locally low density become globally low density -- homogenising cluster density while preserving the cluster structure of the dataset.