Nearest-neighbor Density Estimation
Nearest-Neighbor Density Estimation is a nonparametric density estimation method that estimates the probability density at a given point by adapting the volume of a region centered on the point such that it contains a fixed number of nearest neighbors, thereby distinguishing it from kernel-based or fixed-bandwidth approaches.
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Variants
K-nearest Neighbor Density EstimationK-nn Density Estimation
89
Variable Kernel Estimates of Multivariate Densities
Leo Breiman, William S. Meisel, Edward M. Purcell · Technometrics · 1977 · 474 citations
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Princeton University
Princeton, United States
4 h-index
5 publications
1.4K citations

Australian National University
Canberra, Australia
3 h-index
3 publications
104 citations
University of Michigan
Ann Arbor, United States
3 h-index
7 publications
329 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
5 publications
3.5K citations
Michigan State University
East Lansing, United States
2 h-index
2 publications
28 citations
University at Albany, State University of New York
Albany, United States
2 h-index
3 publications
215 citations
Foundation for Research and Technology Hellas
Heraklion, Greece
2 h-index
2 publications
28 citations

University of Leicester
Leicester, United Kingdom
2 h-index
2 publications
28 citations
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7 publications · 603 citations
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7 publications · 3.8K citations
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Repository · 6 publications · 131 citations
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ApJ · 3 publications · 75 citations
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3 publications · 357 citations
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