% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{face.iGAP}
\alias{face.iGAP}
\title{Face Dataset (iGAP Format)}
\format{
A data frame with 27 observations and 6 character columns in iGAP
format (comma-separated \code{"min,max"} strings):
\itemize{
    \item \code{AD}: Distance AD (facial landmark pair).
    \item \code{BC}: Distance BC (facial landmark pair).
    \item \code{AH}: Distance AH (facial landmark pair).
    \item \code{DH}: Distance DH (facial landmark pair).
    \item \code{EH}: Distance EH (facial landmark pair).
    \item \code{GH}: Distance GH (facial landmark pair).
}
Row names encode individual and replication (e.g., FRA1, FRA2, FRA3).
}
\usage{
data(face.iGAP)
}
\description{
Interval-valued facial measurement data for 27 face images (9 individuals
x 3 replications) in iGAP format (comma-separated interval strings).
Contains 6 distance measurements between facial landmarks.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 27 \cr
  \strong{Variables (p)} \tab 6 \cr
  \strong{Subject area} \tab Biometrics \cr
  \strong{Symbolic format} \tab Interval (iGAP) \cr
  \strong{Analytical tasks} \tab Classification, Visualization
}
}

\examples{
data(face.iGAP)
}
\references{
Leroy, B., Chouakria, A., Herlin, I., and Diday, E. (1996). Approche
geometrique et classification pour la reconnaissance de visage. In
\emph{Reconnaissance des Formes et Intelligence Artificielle (RFIA)},
548--557.
}
\keyword{datasets}
\keyword{iGAP}
\keyword{interval}
