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[80] | 1 | %SATELLITE Satellite dataset 6435 objects with 36 features in 6 classes |
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| 2 | % |
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| 3 | % A = SATELLITE |
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| 4 | % |
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| 5 | % Load the dataset in A. This is the Satellite dataset from the UCI |
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| 6 | % Machine Learning Repository, //www.ics.uci.edu/~mlearn/MLRepository.html. |
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| 7 | % As the samples are taken from related neighborhoods, it is better to |
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| 8 | % avoid cross-validation. Use the first 4435 samples for training and the |
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| 9 | % remaining 2000 for testing. |
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| 10 | % |
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| 11 | % See also DATASETS, PRDATASETS, SOYBEAN1 |
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| 12 | |
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| 13 | % Copyright: R.P.W. Duin, r.p.w.duin@prtools.org |
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| 14 | % Faculty EWI, Delft University of Technology |
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| 15 | % P.O. Box 5031, 2600 GA Delft, The Netherlands |
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| 16 | |
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| 17 | function a = satellite |
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| 18 | |
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| 19 | prdatasets(mfilename,1); |
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[81] | 20 | a = pr_dataset('satellite'); |
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[80] | 21 | a = setname(a,'Satellite dataset'); |
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