Last change
on this file since 144 was
142,
checked in by bduin, 5 years ago
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Updated collection of datasets
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File size:
969 bytes
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[142] | 1 | %PENDIGITS Pen-based recognition of handwritten digits
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| 2 | %PRTools dataset import from UCI, 7494+3498 objects, 16 features, 10 classes
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| 3 | %
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| 4 | % [TRAIN,TEST] = PENDIGITS
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| 5 | % TRAIN_TEST = PENDIGITS
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| 6 | %
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| 7 | %DESCRIPTION
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| 8 | %This command downloads one of the UCI data sets, converts it into PRTools
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| 9 | %format and stores it locally for future use. Consult the <a href="http://archive.ics.uci.edu/ml/datasets/Pen-Based+Recognition+of+Handwritten+Digits">related website</a>
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| 10 | %for further information. Please make the appropriate references in
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| 11 | %publications that make use of this dataset.
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| 12 | %
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| 13 | %SEE ALSO <a href="http://37steps.com/prtools">PRTools Guide</a>, <a href="http://archive.ics.uci.edu/ml/">UCI Website</a>
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| 14 |
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| 15 | function [a,b] = pendigits
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| 16 |
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| 17 | [a,b] = pr_download_uci('Pen-Based+Recognition+of+Handwritten+Digits',{'pendigits.tra','pendigits.tes'});
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| 18 | a = setname(a,'Pen Based Handwritten Digits');
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| 19 | b = setname(b,'Pen Based Handwritten Digits');
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| 20 | if nargout < 2, a = [a;b]; end
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