knn: Search Nearest Neighbors
In r-lidar/lidR: Airborne LiDAR Data Manipulation and Visualization for Forestry Applications
knn R Documentation
Search Nearest Neighbors
Description
Fast parallelized k-neareast neighbor searching algorithms for point cloud in LAS format
Usage
knn(data, k = 10)
knnx(data, query, k = 10)
Arguments
data
LAS object for input point cloud
k
number of nearest neighbors to search.
query
LAS object for query locations
Value
a list contains:
**nn.index** an n x k matrix for the nearest neighbor indice.
**nn.dist** an n x k matrix for the nearest neighbor Euclidean distances.
r-lidar/lidR documentation built on Feb. 7, 2025, 8:57 p.m.
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| knn | R Documentation |
Search Nearest Neighbors
Description
Fast parallelized k-neareast neighbor searching algorithms for point cloud in LAS format
Usage
knn(data, k = 10)
knnx(data, query, k = 10)
Arguments
data |
LAS object for input point cloud |
k |
number of nearest neighbors to search. |
query |
LAS object for query locations |
Value
a list contains:
**nn.index** an n x k matrix for the nearest neighbor indice.
**nn.dist** an n x k matrix for the nearest neighbor Euclidean distances.
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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