source: prdatasets/x80.m @ 155

%X80 Handwritten character dataset, 45 objects with 8 features in 3 classes
%
%       A = X80
%
% DESCRIPTION
% Load the dataset in A. This is the 80X dataset, having 3 classes.
% The 8 features are the distances from a bounding box to the 
% pixels of a set of handwritten characters 'X', '8' and '0', measured from
% the corners along the diagonals and from the edge midpoints along the 
% horizontal and vertical central axes.
%
% REFERENCES
% 1. R. Dubes and A.K. Jain, Clustering techniques: The user's dilemma,
% Pattern Recognition, Volume 8, Issue 4, October 1976, Pages 247-260.
% 2. A.K. Jain, R.C. Dubes, C.C. Chen, Bootstrap Techniques for Error Estimation
% IEEE Trans. Pattern Anal. and Mach. Intel., 9(5), pp. 628-633, 1987.
% 3. W.F. Schmidt, D.F. Levelt, and R.P.W. Duin, An experimental comparison
% of neural classifiers with traditional classifiers, in: E.S. Gelsema, 
% L.N. Kanal (eds.), Pattern Recognition in Practice IV, Elsevier,
% 1994, 391-402. 
%
% See also DATASETS, PRDATASETS, IMOX

% Copyright: R.P.W. Duin
% Faculty EWI, Delft University of Technology
% P.O. Box 5031, 2600 GA Delft, The Netherlands

function a = x80

a = pr_getdata('http://prtools.tudelft.nl/prdatasets/80x.mat');
a = setname(a,'80X Characters');
a = setlablist(a,char('8','0','X'));
a = setfeatlab(a,char(...
        'diagonal from top-left', ...
        'vertical from top-center', ...
        'diagonal from top-right', ...
                'horizontal from right-center', ...
                'diagonal from bottom-right', ...
                'vertical from bottom-center', ...
                'diagonal from bottom-left', ...
                'horizontal from left-center'));