stepArchetypesRawData_norm_frob: Archetype algorithm to raw data with the Frobenius norm

In adamethods: Archetypoid Algorithms and Anomaly Detection

Description

This is a slight modification of stepArchetypesRawData to use the archetype algorithm with the Frobenius norm.

Usage

stepArchetypesRawData_norm_frob(data, numArch, numRep = 3, 
                                verbose = TRUE, saveHistory = FALSE)

Arguments

data	Data to obtain archetypes.
numArch	Number of archetypes to compute, from 1 to numArch.
numRep	For each numArch, run the archetype algorithm numRep times.
verbose	If TRUE, the progress during execution is shown.
saveHistory	Save execution steps.

Value

A list with the archetypes.

Author(s)

Irene Epifanio

References

Eugster, M.J.A. and Leisch, F., From Spider-Man to Hero - Archetypal Analysis in R, 2009. Journal of Statistical Software 30(8), 1-23, https://doi.org/10.18637/jss.v030.i08

Moliner, J. and Epifanio, I., Robust multivariate and functional archetypal analysis with application to financial time series analysis, 2019. Physica A: Statistical Mechanics and its Applications 519, 195-208. https://doi.org/10.1016/j.physa.2018.12.036

Vinue, G., Epifanio, I., and Alemany, S., Archetypoids: a new approach to define representative archetypal data, 2015. Computational Statistics and Data Analysis 87, 102-115, https://doi.org/10.1016/j.csda.2015.01.018

Vinue, G., Anthropometry: An R Package for Analysis of Anthropometric Data, 2017. Journal of Statistical Software 77(6), 1-39, https://doi.org/10.18637/jss.v077.i06

See Also

stepArchetypesRawData, stepArchetypes

Examples

data(mtcars)
data <- as.matrix(mtcars)

numArch <- 5 
numRep <- 2

lass <- stepArchetypesRawData_norm_frob(data = data, numArch = 1:numArch, 
                                        numRep = numRep, verbose = FALSE)
                                        
str(lass)   
length(lass[[1]])
class(lass[[1]])  
                                                   

adamethods documentation built on Aug. 4, 2020, 5:08 p.m.