plane: Fighter plane dataset

In mrfDepth: Depth Measures in Multivariate, Regression and Functional Settings

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))

mrfDepth documentation built on Oct. 6, 2023, 5:07 p.m.