MTSYS (version 1.2.0)

generates_dimensionality_reduction_function: Function to generate a data transformation function for the Recognition-Taguchi (RT) method

Description

generates_dimensionality_reduction_function returns the data transformation function for the Recognition-Taguchi (RT) method based on the unit_space_data. The function reduces the dimensionality of data into 2 synthetic variables.

Usage

generates_dimensionality_reduction_function(unit_space_data)

Arguments

unit_space_data

Matrix with n rows (samples) and p columns (variables). Data to generate the unit space. All data should be continuous values and should not have missing values.

Value

Function is returned which takes an n x p matrix as an (only) argument and returns a dimensionality-reduced n x 2 data frame with named columns; Y_1 and Y_2.

References

Taguchi, G. (2006). Objective Function and Generic Function (11). Journal of Quality Engineering Society, 14(2), 5-9. (In Japanese)

Huda, F., Kajiwara, I., Hosoya, N., & Kawamura, S. (2013). Bolt loosening analysis and diagnosis by non-contact laser excitation vibration tests. Mechanical systems and signal processing, 40(2), 589-604.

See Also

RT

Examples

# NOT RUN {
# 40 data for versicolor in the iris dataset
iris_versicolor <- iris[61:100, -5]

reduces_dimensionality <-
                 generates_dimensionality_reduction_function(iris_versicolor)

is.function(reduces_dimensionality) # TRUE

# }