Quantile Classification
Quantile Classification is a statistical data classification method in choropleth mapping that partitions ordered data values into equal-sized classes, where each class contains approximately the same number of observations, thereby distinguishing it from other classification techniques by emphasizing distributional equivalence rather than interval or natural break optimization.
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1.7K
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74
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52
Institutions
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2017–2026
14
Variants
Quantile Data Classification
Parents
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A random forests quantile classifier for class imbalanced data
Robert O’Brien, Hemant Ishwaran · Pattern Recognition · 2019 · 176 citations · Full text
Can overnight urine replace 24-hour urine collection to asses salt intake?
K Liu, Alan R. Dyer, Richard Cooper et al. · Hypertension · 1979 · 88 citations · Full text
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University of Science and Technology Liaoning
Anshan, China
2 h-index
4 publications
108 citations
Xiamen University
Xiamen, China
2 h-index
9 publications
158 citations

The University of Texas at El Paso
El Paso, United States
2 h-index
2 publications
84 citations
Lakehead University
Thunder Bay, Canada
2 h-index
3 publications
66 citations
University of Miami
Coral Gables, United States
1 h-index
2 publications
352 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
68 citations
General Department of Preventive Medicine
Hanoi, Vietnam
1 h-index
3 publications
264 citations
National Institute of Environmental Health Sciences
Durham, United States
1 h-index
1 publications
13 citations
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2 publications · 84 citations
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1 publications · 42 citations
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1 publications · 17 citations
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1 publications · 131 citations
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