all AI news
Time Series Clustering with an EM algorithm for Mixtures of Linear Gaussian State Space Models. (arXiv:2208.11907v1 [cs.LG])
Aug. 26, 2022, 1:13 a.m. | Ryohei Umatani, Takashi Imai, Kaoru Kawamoto, Shutaro Kunimasa
cs.CV updates on arXiv.org arxiv.org
In this paper, we consider the task of clustering a set of individual time
series while modeling each cluster, that is, model-based time series
clustering. The task requires a parametric model with sufficient flexibility to
describe the dynamics in various time series. To address this problem, we
propose a novel model-based time series clustering method with mixtures of
linear Gaussian state space models, which have high flexibility. The proposed
method uses a new expectation-maximization algorithm for the mixture model to …
algorithm arxiv clustering lg linear series space state time time series
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US
Research Engineer
@ Allora Labs | Remote
Ecosystem Manager
@ Allora Labs | Remote
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US