plot.Surface_Cluster_Parameters {DRIP} | R Documentation |
Plot Parameter Selection Results in Surface Estimation
Description
Plot information about a clustering-based surface estimation parameter selection object.
Usage
## S3 method for class 'Surface_Cluster_Parameters'
plot(x, ...)
Arguments
x |
A clustering-based surface estimation parameter selection object. |
... |
Further arguments passed to or from other methods. |
Details
Plot some information about a clustering-based surface estimation parameter selection object. In particular, it plots the cross-validation (no blur) or modified cross-validation (there is blur involved) scores against the specified bandwidth values.
Value
A plot of (modified) cross-validation scores is produced.
Author(s)
Yicheng Kang
References
Kang, Y., Mukherjee, P.S. and Qiu, P. (2018) "Efficient Blind Image Deblurring Using Nonparametric Regression and Local Pixel Clustering", Technometrics, 60(4), 522 – 531, doi:10.1080/00401706.2017.1415975.
Qiu, P. (2009) "Jump-Preserving Surface Reconstruction from Noisy Data", Annals of the Institute of Statistical Mathematics, 61, 715 – 751, doi:10.1007/s10463-007-0166-9.
See Also
surfaceCluster_bandwidth
, print.Surface_Cluster_Parameters
,
summary.Surface_Cluster_Parameters
Examples
data(brain)
bandwidth_select <- surfaceCluster_bandwidth(image = brain,
bandwidths = c(3:4), sig.level = .9995, blur = FALSE)
plot(bandwidth_select)