% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data.R
\docType{data}
\name{bats.int}
\alias{bats.int}
\title{Bat Species Interval Dataset}
\format{
A data frame with 21 observations and 9 columns (4 interval variables
in \code{_l}/\code{_u} Min-Max pairs, plus a label):
\itemize{
    \item \code{species}: Bat species name (character).
    \item \code{head_l}, \code{head_u}: Head length range (mm).
    \item \code{tail_l}, \code{tail_u}: Tail length range (mm).
    \item \code{height_l}, \code{height_u}: Ear height range (cm).
    \item \code{forearm_l}, \code{forearm_u}: Forearm length range (mm).
}
}
\usage{
data(bats.int)
}
\description{
Interval-valued data for 21 bat species described by 4 morphological
measurements. Benchmark dataset for matrix visualization.
}
\details{
Used to demonstrate color coding schemes, the HCT-R2E seriation
algorithm, and distance measure comparisons (Gowda-Diday, Hausdorff,
City-Block, L1, L2, etc.) for interval data.
}
\section{Metadata}{

\tabular{ll}{
  \strong{Sample size (n)} \tab 21 \cr
  \strong{Variables (p)} \tab 9 \cr
  \strong{Subject area} \tab Zoology \cr
  \strong{Symbolic format} \tab Interval \cr
  \strong{Analytical tasks} \tab Clustering, Visualization
}
}

\examples{
data(bats.int)
}
\references{
Kao, C.-H. et al. (2014). Exploratory data analysis of interval-valued
symbolic data with matrix visualization.
\emph{Computational Statistics & Data Analysis}, 79, 14--29.
}
\keyword{clustering}
\keyword{datasets}
\keyword{interval}
\keyword{visualization}
