plane {mrfDepth} | R Documentation |
Fighter plane dataset
Description
The fighter plane dataset of Thakoor and Gao (2005) describes 7 shapes: of the Mirage, Eurofighter, F-14 with wings closed, F-14 with wings opened, Harrier, F-22 and F-15. Each class contains 30 shape samples obtained from digital pictures, which Thakoor and Gao (2005) then reduced to univariate functions.
Usage
data(plane)
Format
A list of arrays corresponding to each plane. For each plane, a three-dimensional t
by n
by p = 1
array is available. The index t
corresponds to the different measurement points, the index n
to the different observations.
Details
When using this data set please cite both Thakoor et al. (2005) and Hubert et al. (2017).
Source
Thakoor N., Gao J. (2005). Shape classifier based on generalized probabilistic descent method with hidden Markov descriptor. Tenth IEEE International Conference on Computer Vision (ICCV 2005), Vol. 1: 495–502.
Chen Y., Keogh E., Hu B., Begum N., Bagnall A., Mueen A., Batista G.J. (2015). The UCR time series classification archive. [http://www.cs.ucr.edu/~eamonn/time_series_data]
References
Hubert M., Rousseeuw P.J., Segaert P. (2017). Multivariate and functional classification using depth and distance. Advances in Data Analysis and Classification, 11, 445–466.
Examples
data(plane)
par(mfrow = c(2,1))
matplot(y = plane$plane1[,,1],
type ="l", col = "black", lty = 1,
xlab = "", ylab = "", main = "plane 1")
matplot(y = plane$plane2[,,1],
type = "l", col = "black", lty = 1,
xlab = "", ylab = "", main = "plane 2")
par(mfrow = c(1,1))