Results 1 to 10 of about 617,623 (176)
Spatial Hurst–Kolmogorov Clustering
Encyclopedia, 2021 The stochastic analysis in the scale domain (instead of the traditional lag or frequency domains) is introduced as a robust means to identify, model and simulate the Hurst–Kolmogorov (HK) dynamics, ranging from small (fractal) to large scales exhibiting ...
Panayiotis Dimitriadis +3 more
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Spatial–temporal clustering of tornadoes [PDF]
Natural Hazards and Earth System Sciences, 2016 The standard measure of the intensity of a tornado is the Enhanced Fujita scale, which is based qualitatively on the damage caused by a tornado. An alternative measure of tornado intensity is the tornado path length, L.
B. D. Malamud +2 more
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SpatialLeiden: spatially aware Leiden clustering
Genome BiologyClustering can identify the natural structure that is inherent to measured data. For single-cell omics, clustering finds cells with similar molecular phenotype after which cell types are annotated.
Niklas Müller-Bötticher +3 more
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A raster-based spatial clustering method with robustness to spatial outliers [PDF]
Scientific ReportsSpatial clustering is an essential method for the comprehensive understanding of a region. Spatial clustering divides all spatial units into different clusters. The attributes of each cluster of the spatial units are similar, and simultaneously, they are
Haoyu Wang +3 more
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Spatially clustered regression [PDF]
Spatial Statistics, 2021 28 pages, 6 ...
Shonosuke Sugasawa, Daisuke Murakami
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Spatially Clustered Survey Designs
Journal of Agricultural, Biological and Environmental Statistics, 2023 AbstractDirect observation, through surveys, underpins nearly all aspects of environmental sciences. Survey design theory has evolved to make sure that sampling is as efficient as possible whilst remaining robust and fit-for-purpose. However, these methods frequently focus on theoretical aspects and often increase the logistical difficulty of ...
Scott D. Foster +2 more
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Clustering spatial transcriptomics data
Bioinformatics, 2021 AbstractMotivationRecent advancements in fluorescence in situ hybridization (FISH) techniques enable them to concurrently obtain information on the location and gene expression of single cells. A key question in the initial analysis of such spatial transcriptomics data is the assignment of cell types.
Haotian Teng, Ye Yuan, Ziv Bar-Joseph
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Multi-Scale Massive Points Fast Clustering Based on Hierarchical Density Spanning Tree
ISPRS International Journal of Geo-Information, 2023 Spatial clustering is dependent on spatial scales. With the widespread use of web maps, a fast clustering method for multi-scale spatial elements has become a new requirement. Therefore, to cluster and display elements rapidly at different spatial scales,
Song Chen +6 more
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An improved fuzzy clustering image segmentation algorithm combining spatial information
Xi'an Gongcheng Daxue xuebao, 2021 In order to improve the ability of fuzzy C-means (FCM) clustering algorithm to suppress noise, an improved fuzzy clustering image segmentation algorithm was proposed.
Xudong LIU +4 more
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Spatial clustering in vaccination hesitancy: The role of social influence and social selection.
PLoS Computational Biology, 2022 The phenomenon of vaccine hesitancy behavior has gained ground over the last three decades, jeopardizing the maintenance of herd immunity. This behavior tends to cluster spatially, creating pockets of unprotected sub-populations that can be hotspots for ...
Lucila G Alvarez-Zuzek +2 more
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