subsample: Nearest neighbor subsampling
In SPlit: Split a Dataset for Training and Testing
subsample R Documentation
Nearest neighbor subsampling
Description
subsample() finds the nearest data points in a dataset to a given set of points as described in Joseph and Vakayil (2021). It uses an efficient kd-tree based algorithm that allows for lazy deletion of a data point from the kd-tree, thereby avoiding the need to rebuild the tree after each query. Please see Blanco and Rai (2014) for details.
Usage
subsample(data, points)
Arguments
data
The dataset; should be numeric.
points
The set of query points of the same dimension as the dataset.
Value
Indices of the nearest neighbors in the dataset.
References
Blanco, J. L. & Rai, P. K. (2014). nanoflann: a C++ header-only fork of FLANN, a library for nearest neighbor (NN) with kd-trees. https://github.com/jlblancoc/nanoflann.
Joseph, V. R., & Vakayil, A. (2021). SPlit: An Optimal Method for Data Splitting. Technometrics, 1-11. doi:10.1080/00401706.2021.1921037.
SPlit documentation built on March 22, 2022, 9:06 a.m.
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| subsample | R Documentation |
Nearest neighbor subsampling
Description
subsample() finds the nearest data points in a dataset to a given set of points as described in Joseph and Vakayil (2021). It uses an efficient kd-tree based algorithm that allows for lazy deletion of a data point from the kd-tree, thereby avoiding the need to rebuild the tree after each query. Please see Blanco and Rai (2014) for details.
Usage
subsample(data, points)
Arguments
data |
The dataset; should be numeric. |
points |
The set of query points of the same dimension as the dataset. |
Value
Indices of the nearest neighbors in the dataset.
References
Blanco, J. L. & Rai, P. K. (2014). nanoflann: a C++ header-only fork of FLANN, a library for nearest neighbor (NN) with kd-trees. https://github.com/jlblancoc/nanoflann.
Joseph, V. R., & Vakayil, A. (2021). SPlit: An Optimal Method for Data Splitting. Technometrics, 1-11. doi:10.1080/00401706.2021.1921037.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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