normalize_points: Scale point cloud
In emoa: Evolutionary Multiobjective Optimization Algorithms
normalize_points R Documentation
Scale point cloud
Description
Rescale all points to lie in the box bounded by minval
and maxval.
Usage
normalize_points(points, minval, maxval)
Arguments
points
Matrix containing points, one per column.
minval
Optional lower limits for the new bounding box.
maxval
Optional upper limits for the new bounding box.
Value
Scaled points.
Author(s)
Olaf Mersmann olafm@statistik.tu-dortmund.de
emoa documentation built on Sept. 11, 2024, 8:57 p.m.
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| normalize_points | R Documentation |
Scale point cloud
Description
Rescale all points to lie in the box bounded by minval
and maxval.
Usage
normalize_points(points, minval, maxval)
Arguments
points |
Matrix containing points, one per column. |
minval |
Optional lower limits for the new bounding box. |
maxval |
Optional upper limits for the new bounding box. |
Value
Scaled points.
Author(s)
Olaf Mersmann olafm@statistik.tu-dortmund.de
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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