Results 131 to 140 of about 18,151,622 (163)

Time-series clustering of cytokine expression after transarterial chemoembolization in patients with hepatocellular carcinoma. [PDF]

Oncol Lett, 2020
Qi F, Wang L, Huang P, Zhao Z, Yang B, Xia J.   +5 more
europepmc   +1 more source

Time Series Clustering Using DBSCAN

Economic policy and research rely on the correct evaluation of the billions of high-frequency data points that we collect every day. Consistent clustering algorithms, like DBSCAN, allow us to make sense of the data in a useful way.
Waltz, Nicholas
core  

Energy landscape analysis and time-series clustering analysis of patient state multistability related to rheumatoid arthritis drug treatment: The KURAMA cohort study. [PDF]

PLoS One
Yamamoto K, Sakaguchi M, Onishi A, Yokoyama S, Matsui Y, Yamamoto W, Onizawa H, Fujii T, Murata K, Tanaka M, Hashimoto M, Matsuda S, Morinobu A.   +12 more
europepmc   +1 more source

Population shifts during the reconstruction period in areas marked as evacuation zones after the Fukushima Daiichi nuclear power plant accident: a mobile spatial statistics data-based time-series clustering analysis. [PDF]

J Radiat Res
Abe T, Yoshimura H, Saito H, Murakami M, Higuchi A, Moriyama N, Amir I, Ito N, Ozaki A, Sawano T, Yamamoto C, Zhao T, Tsubokura M.   +12 more
europepmc   +1 more source

Time-series clustering of cage-level sea lice data. [PDF]

PLoS One, 2018
Marques AR, Forde H, Revie CW.
europepmc   +1 more source

Time series clustering of mRNA and lncRNA expression during osteogenic differentiation of periodontal ligament stem cells. [PDF]

PeerJ, 2018
Zheng Y, Li X, Huang Y, Jia L, Li W.
europepmc   +1 more source

Comparisons of COVID-19 dynamics in the different countries of the World using Time-Series clustering

, 2020
Alvarez E, Gabriel Brida J, Limas E.
europepmc   +1 more source