Distance-based Spatial Clustering
Distance-Based Spatial Clustering is a spatial clustering method that partitions geographic data into meaningful groups based on the proximity between locations, as measured by a defined distance metric, such that objects closer to each other are more likely to be grouped than those farther apart.
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3.9K
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239
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129
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2017–2026
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The effect of 16S rRNA region choice on bacterial community metabarcoding results
Yu. S. Bukin, Yu. P. Galach’yants, Igor V. Morozov et al. · Scientific Data · 2019 · 396 citations · Full text
Spatial clustering methods in data mining : A survey
Ji Han · Medical Entomology and Zoology · 2001 · 378 citations
MEASURES OF SPATIAL PATTERN FOR COUNTS
J. N. Perry · Ecology · 1998 · 301 citations
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Universidade Federal de Pernambuco, Brazil
2 publications · 228 citations
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Ministry of Agriculture, Animal Industry and Fisheries, Uganda
2 publications · 41 citations
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Rothamsted Research
Harpenden, United Kingdom
2 h-index
2 publications
320 citations

Institut National des Sciences Appliquées de Toulouse
Toulouse, France
2 h-index
4 publications
612 citations

International Livestock Research Institute
Nairobi, Kenya
2 h-index
9 publications
176 citations
BOKU University
Vienna, Austria
2 h-index
8 publications
164 citations
Laboratoire de Mathématiques Blaise Pascal
Aubière, France
2 h-index
4 publications
90 citations
Chinese Academy of Agricultural Sciences
Beijing, China
2 h-index
2 publications
41 citations
University of Verona
Verona, Italy
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2 publications
40 citations
Wuhan University
Wuhan, China
2 h-index
5 publications
160 citations
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4 publications · 261 citations
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GSE · 2 publications · 41 citations
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2 publications · 320 citations
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2 publications · 39 citations
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2 publications · 109 citations
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