Commit Inicial

data/tanveer/page-blocks/le_datos.m

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+printf('lendo problema %s ...\n', problema);
+
+n_entradas= 10; n_clases= 5; n_fich= 1; fich{1}= 'page-blocks.data'; n_patrons(1)= 5473;
+
+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,'%g',1);
+	end	
+	cl(i_fich,i) = fscanf(f,'%i',1) - 1;  	% lectura da clase
+  end
+  fclose(f);
+end

data/tanveer/page-blocks/page-blocks.cost

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+% Rows	Columns
+5	5
+% Matrix elements
+ 0.0	 1.0	 1.0	 1.0	 1.0	
+ 1.0	 0.0	 1.0	 1.0	 1.0	
+ 1.0	 1.0	 0.0	 1.0	 1.0	
+ 1.0	 1.0	 1.0	 0.0	 1.0	
+ 1.0	 1.0	 1.0	 1.0	 0.0	

data/tanveer/page-blocks/page-blocks.names

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+1. Title of Database: Blocks Classification
+2. Sources:
+   (a) Donato Malerba
+       Dipartimento di Informatica
+       University of Bari
+       via Orabona 4
+       70126 Bari - Italy
+       phone: +39 - 80 - 5443269
+       fax: +39 - 80 - 5443196
+       malerbad@vm.csata.it
+   (b) Donor: Donato Malerba
+   (c) Date: July 1995
+3. Past Usage:
+   This data set have been used to try different simplification methods
+   for decision trees. A summary of the results can be found in:
+
+   Malerba, D., Esposito, F., and Semeraro, G.
+   "A Further Comparison of Simplification Methods for Decision-Tree Induction."
+   In D. Fisher and H. Lenz (Eds.), "Learning  from Data: 
+   Artificial Intelligence and Statistics V", Lecture Notes in Statistics,
+   Springer Verlag, Berlin, 1995.
+
+   The problem consists in classifying all the blocks of the page
+   layout of a document that has been detected by a segmentation
+   process. This is an essential step in document analysis
+   in order to separate text from graphic areas. Indeed, 
+   the five classes are: text (1), horizontal line (2),
+   picture (3), vertical line (4) and graphic (5).
+   For a detailed presentation of the problem see:
+
+    Esposito F., Malerba D., & Semeraro G.
+  Multistrategy Learning for Document Recognition
+         Applied Artificial Intelligence, 8, pp. 33-84, 1994
+
+   All instances have been personally checked so that
+   low noise is present in the data.
+
+4. Relevant Information Paragraph:
+
+   The 5473 examples comes from 54 distinct documents. 
+   Each observation concerns one block. 
+   All attributes are numeric.
+   Data are in a format readable by C4.5.
+
+5. Number of Instances: 5473.
+
+6. Number of Attributes 
+
+   height:   integer.         | Height of the block.
+   lenght:   integer.     | Length of the block. 
+   area:     integer.    | Area of the block (height * lenght);
+   eccen:    continuous.  | Eccentricity of the block (lenght / height);
+   p_black:  continuous.  | Percentage of black pixels within the block (blackpix / area);
+   p_and:    continuous.        | Percentage of black pixels after the application of the Run Length Smoothing Algorithm (RLSA) (blackand / area);
+   mean_tr:  continuous.      | Mean number of white-black transitions (blackpix / wb_trans);
+   blackpix: integer.    | Total number of black pixels in the original bitmap of the block.
+   blackand: integer.        | Total number of black pixels in the bitmap of the block after the RLSA.
+   wb_trans: integer.          | Number of white-black transitions in the original bitmap of the block.
+
+
+
+7. Missing Attribute Values:  No missing value.
+
+8. Class Distribution: 
+
+                                           Valid    Cum
+   Class               Frequency  Percent  Percent  Percent
+ 
+text                      4913     89.8     89.8     89.8
+horiz. line                329      6.0      6.0     95.8
+graphic                     28       .5       .5     96.3
+vert. line                  88      1.6      1.6     97.9
+picture                    115      2.1      2.1    100.0
+                                -------  -------  -------
+                        TOTAL      5473    100.0    100.0
+
+Summary Statistics:
+
+Variable      Mean    Std Dev   Minimum   Maximum   Correlation 
+
+HEIGHT       10.47      18.96         1       804         .3510
+LENGTH       89.57     114.72         1       553        -.0045
+AREA       1198.41    4849.38         7    143993         .2343
+ECCEN        13.75      30.70      .007    537.00         .0992
+P_BLACK        .37        .18      .052      1.00         .2130
+P_AND          .79        .17      .062      1.00        -.1771
+MEAN_TR       6.22      69.08      1.00   4955.00         .0723
+BLACKPIX    365.93    1270.33         7     33017         .1656
+BLACKAND    741.11    1881.50         7     46133         .1565
+WB_TRANS    106.66     167.31         1      3212         .0337
+

data/tanveer/page-blocks/page-blocks.txt

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+n_entradas= 10
+n_clases= 5
+n_arquivos= 1
+fich1= page-blocks_R.dat
+n_patrons1= 5473
+n_patrons_entrena= 2737
+n_patrons_valida= 2736
+n_conxuntos= 1