R/vehicles-data.R

In evclass: Evidential Distance-Based Classification

#' Vehicles dataset
#'
#' This dataset was collected from silhouettes by the HIPS (Hierarchical Image
#' Processing System) extension BINATTS  Four model vehicles were used for the
#' experiment: bus, Chevrolet van,  Saab 9000 and Opel Manta. The data were used to
#' distinguish 3D objects within a 2-D silhouette of the objects. There are 846
#' instances and 18 numeric attributes. The first 564 objects are training data,
#' the rest are test data. This version of dataset was used by Zouhal and Denoeux (1998).
#'
#' @docType data
#'
#' @usage data(vehicles)
#'
#' @format A list with two elements:
#' \describe{
#' \item{x}{The 846 x 18 object-attribute matrix.}
#' \item{y}{A 846-vector containing the class labels.}
#' }
#'
#' @keywords datasets
#'
#' @references
#'
#' P. M.  Murphy and D. W. Aha.  UCI Reposition of machine learning databases.
#' [Machine readable data repository]. University of California, Departement of
#' Information and Computer Science, Irvine, CA.
#'
#' L. M. Zouhal and T. Denoeux. An evidence-theoretic k-NN rule with parameter
#' optimization. IEEE Transactions on Systems, Man and Cybernetics Part C,
#' 28(2):263--271,1998.
#'
#'
#' @examples
#' data(vehicles)
#' table(vehicles$y)
"vehicles"