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[142] | 1 | %ISOLET Spoken letter names
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| 2 | %PRTools dataset import from UCI, 6238+1559 objects, 617 categorical features, 26 classes
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| 3 | %
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| 4 | % [TRAIN,TEST] = ISOLET
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| 5 | % TRAIN_TEST = ISOLET
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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/ISOLET">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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[150] | 13 | %SEE ALSO <a href="http://prtools.tudelft.nl/prtools/">PRTools Guide</a>, <a href="http://archive.ics.uci.edu/ml/">UCI Website</a>
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[142] | 14 |
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| 15 | function [a,b] = isolet
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| 16 |
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| 17 | % UCI data is Z-compressed. No Matlab command found for uncompressing.
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[150] | 18 | % Load zipped data from prtools website.
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| 19 | url1 = 'http://prtools.tudelft.nl/prdatasets/isolet1+2+3+4.zip';
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| 20 | url2 = 'http://prtools.tudelft.nl/prdatasets/isolet5.zip';
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[142] | 21 | [a,b] = pr_download_uci('ISOLET',{url1,url2});
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| 22 | a = setname(a,'Isolet');
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| 23 | b = setname(b,'Isolet');
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| 24 | if nargout < 2, a = [a;b]; end
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| 25 |
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