Fuzzy clustering of circular time series based on a new dependence measure with applications to wind data

arXiv:2402.08687v1 Announce Type: cross
Abstract: Time series clustering is an essential machine learning task with applications in many disciplines. While the majority of the methods focus on time series taking values on the real line, very few works consider time series defined on the unit circle, although the latter objects frequently arise in many applications. In this paper, the problem of clustering circular time series is addressed. To this aim, a distance between circular series is introduced and used to …

abstract applications arxiv clustering cs.lg data focus line machine machine learning series stat.ap time series type values wind