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Perform archetypal analysis on a data matrix.
archetypes(data, k, weights = NULL, maxIterations = 100,
minImprovement = sqrt(.Machine$double.eps), maxKappa = 1000,
verbose = FALSE, saveHistory = TRUE,
family = archetypesFamily("original"), ...)An object of class archetypes, see
as.archetypes.
A numeric
The number of archetypes.
Data weights matrix or vector (used as elements of the diagonal weights matrix).
The maximum number of iterations.
The minimal value of improvement between two iterations.
The limit of kappa to report an ill-ness warning.
Print some details during execution.
Save each execution step in an environment for further analyses.
Blocks defining the underlying problem
solving mechanisms; see archetypesFamily.
Additional arguments for family blocks.
Cutler and Breiman. Archetypal Analysis. Technometrics, 36(4), 1994. 338-348.
Other archetypes: archetypesFamily;
as.archetypes;
robustArchetypes;
weightedArchetypes
data(toy)
a <- archetypes(toy, 3)
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