Commit Inicial

data/tanveer/optical/le_datos.m

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+printf('lendo problema %s ...\n', problema);
+
+n_entradas= 64; n_clases= 10; 
+n_fich= 2; fich{1}= 'optdigits.tra'; n_patrons(1)= 3823; fich{2}= 'optdigits.tes'; n_patrons(2)= 1797;
+
+n_max= max(n_patrons);
+x = zeros(n_fich, n_max, n_entradas); cl= zeros(n_fich, n_max);
+
+n_patrons_total = sum(n_patrons); n_iter=0;
+
+for i_fich=1:n_fich
+  f=fopen(fich{i_fich}, 'r');
+  if -1==f
+	error('erro en fopen abrindo %s\n', fich{i_fich});
+  end
+  for i=1:n_patrons(i_fich)
+   	fprintf(2,'%5.1f%%\r', 100*n_iter++/n_patrons_total);
+	for j = 1:n_entradas
+	  x(i_fich,i,j) = fscanf(f,'%i',1);
+	end
+	cl(i_fich,i) = fscanf(f,'%i',1);  	% lectura da clase
+  end
+  fclose(f);
+end

data/tanveer/optical/optdigits.names

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+
+1. Title of Database: Optical Recognition of Handwritten Digits
+
+2. Source:
+	E. Alpaydin, C. Kaynak
+	Department of Computer Engineering
+	Bogazici University, 80815 Istanbul Turkey
+	alpaydin@boun.edu.tr
+	July 1998
+
+3. Past Usage:
+	C. Kaynak (1995) Methods of Combining Multiple Classifiers and Their
+	Applications to Handwritten Digit Recognition, 
+	MSc Thesis, Institute of Graduate Studies in Science and 
+	Engineering, Bogazici University.
+
+	E. Alpaydin, C. Kaynak (1998) Cascading Classifiers, Kybernetika,
+	to appear. ftp://ftp.icsi.berkeley.edu/pub/ai/ethem/kyb.ps.Z
+
+4. Relevant Information:
+	We used preprocessing programs made available by NIST to extract
+	normalized bitmaps of handwritten digits from a preprinted form. From
+	a total of 43 people, 30 contributed to the training set and different
+	13 to the test set. 32x32 bitmaps are divided into nonoverlapping 
+	blocks of 4x4 and the number of on pixels are counted in each block.
+	This generates an input matrix of 8x8 where each element is an 
+	integer in the range 0..16. This reduces dimensionality and gives 
+	invariance to small distortions.
+
+	For info on NIST preprocessing routines, see 
+	M. D. Garris, J. L. Blue, G. T. Candela, D. L. Dimmick, J. Geist, 
+	P. J. Grother, S. A. Janet, and C. L. Wilson, NIST Form-Based 
+	Handprint Recognition System, NISTIR 5469, 1994.
+
+5. Number of Instances
+	optdigits.tra	Training	3823
+	optdigits.tes	Testing		1797
+	
+	The way we used the dataset was to use half of training for 
+	actual training, one-fourth for validation and one-fourth
+	for writer-dependent testing. The test set was used for 
+	writer-independent testing and is the actual quality measure.
+
+6. Number of Attributes
+	64 input+1 class attribute
+
+7. For Each Attribute:
+	All input attributes are integers in the range 0..16.
+	The last attribute is the class code 0..9
+
+8. Missing Attribute Values
+	None
+
+9. Class Distribution
+	Class:	No of examples in training set
+	0:  376
+	1:  389
+	2:  380
+	3:  389
+	4:  387
+	5:  376
+	6:  377
+	7:  387
+	8:  380
+	9:  382
+
+	Class: No of examples in testing set
+	0:  178
+	1:  182
+	2:  177
+	3:  183
+	4:  181
+	5:  182
+	6:  181
+	7:  179
+	8:  174
+	9:  180
+
+Accuracy on the testing set with k-nn 
+using Euclidean distance as the metric
+
+ k =  1   : 98.00
+ k =  2   : 97.38
+ k =  3   : 97.83
+ k =  4   : 97.61
+ k =  5   : 97.89
+ k =  6   : 97.77
+ k =  7   : 97.66
+ k =  8   : 97.66
+ k =  9   : 97.72
+ k = 10   : 97.55
+ k = 11   : 97.89
+

data/tanveer/optical/optical.cost

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+% Rows	Columns
+10	10
+% Matrix elements
+ 0.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	
+ 1.0	 0.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	
+ 1.0	 1.0	 0.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	
+ 1.0	 1.0	 1.0	 0.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	
+ 1.0	 1.0	 1.0	 1.0	 0.0	 1.0	 1.0	 1.0	 1.0	 1.0	
+ 1.0	 1.0	 1.0	 1.0	 1.0	 0.0	 1.0	 1.0	 1.0	 1.0	
+ 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 0.0	 1.0	 1.0	 1.0	
+ 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 0.0	 1.0	 1.0	
+ 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 0.0	 1.0	
+ 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 1.0	 0.0	

data/tanveer/optical/optical.txt

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+n_entradas= 62
+n_clases= 10
+n_arquivos= 2
+fich1= optical_train_R.dat
+n_patrons1= 3823
+fich2= optical_test_R.dat
+n_patrons2= 1797
+n_patrons_entrena= 1912
+n_patrons_valida= 1911
+n_conxuntos= 1