Encode with DeepInsight Layout

Encode with DeepInsight Layout

Usage

encode_deepinsight(x, layout)

Arguments

x

Numeric feature vector (length p)

layout

Output of fit_deepinsight

Value

A grid_size × grid_size numeric matrix

References

Sharma A et al. (2019). DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture. Scientific Reports, 9, 11399.

Examples

layout <- list(positions = matrix(c(1, 1, 1, 2, 2, 1), ncol = 2, byrow = TRUE), grid_size = 2L)
encode_deepinsight(1:3, layout)
#>      [,1] [,2]
#> [1,]    1    2
#> [2,]    3    0