R/BirdChicken.R

In moviedo5/fda.tsc: Functional Data Sets for Time Series Classification

#' @title Bir/Chicken shape classification
#'
#' @description   It is used for testing contour/image and skeleton-based descriptors. Classes of images vary broadly, and include classes that are similar in shape to one another.
#' 
#' @details 
#' There are 20 instances of each class, and 60 classes in total. We have extracted the outlines of these images and mapped them into 1-D series of distances to the centre. Bird/Chicken is the problem of distinguishing between an outline of a bird and a chicken
#' @format 
#' \describe{
#' The variables are as follows:
#' \itemize{
#' \item{\code{df}:}{ \code{data.frame} with the following variables:}
#' \itemize{
#' \item{\code{class}:}{ Corresponding class level of ``BirdChicken'' curves with 2 classes:level 1, n=20 and level 2, n=20.}
#' \item{\code{sample}:}{Factor variable. In TSC, the first 20 values (\code{sample=train}) are used for training sample and the rest of 20 (\code{sample=test}) for testing.}
#' }
#' \item{\code{x}:}{ \code{fdata} class object with with n=40 curves (per row) observed in 512 discretization points (per column).}
#' }
#'   
#' }
#' 
#' @docType data
#' @keywords datasets
#' @name BirdChicken
#' @usage data(BirdChicken)
#' @source  MPEG-7 CE Shape-1 Part B is a database of binary images developed for testing MPEG-7 shape descriptors, and is available free online: \url{http://www.dabi.temple.edu/~shape/MPEG7/dataset.html} and
#' \url{http://timeseriesclassification.com/description.php?Dataset=BirdChicken}
#' 
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