In this paper, we streamline the Grassmann multivariate time sequence (MTS) clustering for state-space dynamical modelling into three umbrella approaches: (i) Intrinsic approach where clustering is entirely constrained within the manifold, (ii) Extrinsic approach where Grassmann manifold is flattened via local diffeomorphisms or embedded into Reproducing Kernel Hilbert Spaces via Grassmann kernels, (iii) Semi-intrinsic approach where clustering algorithm is performed on Grassmann manifolds via Karcher mean. Consequently, 11 Grassmann clustering algorithms are derived and demonstrated through a comprehensive comparative study on human motion gesture derived MTS data.
|Title of host publication||New Trends in Computer Technologies and Applications - 23rd International Computer Symposium, ICS 2018, Revised Selected Papers|
|Editors||Chuan-Yu Chang, Chien-Chou Lin, Horng-Horng Lin|
|Number of pages||11|
|Publication status||Published - 2019|
|Event||23rd International Computer Symposium, ICS 2018 - Yunlin, Taiwan, Province of China|
Duration: 2018 Dec 20 → 2018 Dec 22
|Name||Communications in Computer and Information Science|
|Conference||23rd International Computer Symposium, ICS 2018|
|Country/Territory||Taiwan, Province of China|
|Period||18/12/20 → 18/12/22|
Bibliographical notePublisher Copyright:
© Springer Nature Singapore Pte Ltd. 2019.
All Science Journal Classification (ASJC) codes
- Computer Science(all)