An improved temporal clustering analysis method applied to whole-brain data in fMRI study

2007 ◽  
Vol 25 (1) ◽  
pp. 57-62 ◽  
Author(s):  
Na Lu ◽  
Bao-Ci Shan ◽  
Jian-Yang Xu ◽  
Wei Wang ◽  
Kun-Cheng Li
Keyword(s):  
Clustering Analysis ◽  
Analysis Method ◽  
Whole Brain ◽  
Temporal Clustering ◽  
Fmri Study ◽  
Brain Data ◽  
Temporal Clustering Analysis

Improved temporal clustering analysis method applied to whole-brain data in acupuncture fMRI study

2007 ◽  
Vol 25 (8) ◽  
pp. 1190-1195 ◽  
Author(s):  
Na Lu ◽  
Bao-Ci Shan ◽  
Jian-Yang Xu ◽  
Wei Wang ◽  
Kun-Cheng Li
Keyword(s):  
Clustering Analysis ◽  
Analysis Method ◽  
Whole Brain ◽  
Temporal Clustering ◽  
Fmri Study ◽  
Brain Data ◽  
Temporal Clustering Analysis

Improved temporal clustering analysis method for detecting multiple response peaks in fMRI

2006 ◽  
Vol 23 (3) ◽  
pp. 285-290 ◽  
Author(s):  
Na Lu ◽  
Bao-Ci Shan ◽  
Ke Li ◽  
Bin Yan ◽  
Wei Wang ◽  
...  
Keyword(s):  
Clustering Analysis ◽  
Multiple Response ◽  
Analysis Method ◽  
Temporal Clustering ◽  
Temporal Clustering Analysis

Derivative temporal clustering analysis: detecting prolonged neuronal activity

2007 ◽  
Vol 25 (2) ◽  
pp. 183-187 ◽  
Author(s):  
Xia Zhao ◽  
Geng Li ◽  
David C. Glahn ◽  
Peter T. Fox ◽  
Jia-Hong Gao
Keyword(s):  
Neuronal Activity ◽  
Clustering Analysis ◽  
Temporal Clustering ◽  
Temporal Clustering Analysis

Spatial and spatial–temporal clustering analysis of hemorrhagic disease in white-tailed deer in the southeastern USA: 1980–2003

2012 ◽  
Vol 106 (3-4) ◽  
pp. 339-347 ◽  
Author(s):  
Bo Xu ◽  
Marguerite Madden ◽  
David E. Stallknecht ◽  
Thomas W. Hodler ◽  
Kathleen C. Parker
Keyword(s):  
Clustering Analysis ◽  
Hemorrhagic Disease ◽  
Southeastern Usa ◽  
Temporal Clustering ◽  
Temporal Clustering Analysis

scholarly journals SPATIAL AND TEMPORAL CLUSTERING ANALYSIS OF EXTREME WAVE EVENTS AROUND THE UK COASTLINE

2018 ◽  
pp. 76 ◽  
Author(s):  
Victor Malagon Santos ◽  
Ivan D. Haigh ◽  
Thomas Wahl
Keyword(s):  
Clustering Analysis ◽  
Northern Europe ◽  
Large Contribution ◽  
Extreme Wave ◽  
Arrival Times ◽  
Temporal Clustering ◽  
Wave Event ◽  
The Uk ◽  
Temporal Clustering Analysis ◽  
Considerable Damage

In northern Europe and the UK in particular, a remarkable series of storms occurred over the winter of 2013/14, with large waves which led to considerable damage to coastal infrastructure. The most significant features of this storm season were the length of coastline affected by flooding (i.e., ‘spatial footprints’) and the short inter-arrival times between extreme events (i.e., ‘temporal clustering’) (Haigh et al., 2016). These extreme wave event characteristics had a large contribution to the devastating consequences along the coast, yet little attention has been paid to them in previous studies. The main aim of this study is to assess the spatial footprints and the temporal clustering of extreme wave events around the UK to facilitate the inclusion of such information into coastal management.

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