most_important_eigenfaces: Most Important Eigenfaces.
In JohannesKlueh/REigenfaces: Face Recognition using Eigenfaces
Description
Usage
Arguments
Value
Examples
Description
The max_count most important eigenfaces (eigenvectors corresponding to the max_count eigenvalues with highest absolute value) are returned. They can be displayed using the show_images function.
Usage
1
most_important_eigenfaces(dataset, max_count = 1L)
Arguments
dataset
list; List returned by load_dataset() with computed eigenfaces. (required)
max_count
integer; Number of eigenfaces that will be displayed. (optional)
Value
double vector containing the max_count most important eigenfaces.
Examples
1
faces <- most_important_eigenfaces(dataset, 16L)
JohannesKlueh/REigenfaces documentation built on Oct. 24, 2020, 7:45 p.m.
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Description Usage Arguments Value Examples
Description
The max_count most important eigenfaces (eigenvectors corresponding to the max_count eigenvalues with highest absolute value) are returned. They can be displayed using the show_images function.
Usage
1 | most_important_eigenfaces(dataset, max_count = 1L)
|
Arguments
dataset |
list; List returned by load_dataset() with computed eigenfaces. (required) |
max_count |
integer; Number of eigenfaces that will be displayed. (optional) |
Value
double vector containing the max_count most important eigenfaces.
Examples
1 | faces <- most_important_eigenfaces(dataset, 16L)
|
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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