clustering_get_data.m
4f9ff70f0445master

clustering_get_data.m
View Options

			% Author: Mixon, Villar, Ward.
			% Filename: get_data.m
			% Last edited: 9 May 2016
			% Description: This function loads data from './data/data_features.mat'.
			% The file was generated using a simple application of
			% Tensor Flow [1] on the NMIST data set [2].
			% Contains two arrays:
			%
			% -digits:
			%
			% A 10 x 1000 array. Each column of this array correspond to
			% a probability assignment of handwritten digit image onto
			% the 10 possible digits.
			%
			% -labels:
			%
			% A 10 x 1000 array corresponding to labels of the digits.
			% labels(i,n)=1 if the handwritten symbol n is the digit i-1,
			% and 0 otherwise.
			%
			% Inputs:
			% Outputs:
			% -digits:
			%
			% Same as in description. The output digits are ordered by
			% label.
			%
			% -labels:
			%
			% A 1000 x 1 array indicating the label for each digit.
			% References:
			%
			% [1] Abadi et al. TensorFlow: Large-scale machine learning on
			% heterogeneous systems.
			% [2] LeCun, Cortes. Mnist handwritten digit database.
			% -------------------------------------------------------------------------

			function [digits,labels]=clustering_get_data(FILENAME)

			load(FILENAME,'digits', 'labels');
			[m,N]=size(digits);

			%sorting the digits according to labels
			labels2=zeros(N,1);
			for i=1:N
			[~, labels2(i,1)]= max(labels(:,i));
			end
			[num, indices]=sort(labels2);
			digits=digits(:,indices);
			labels=num;

			end