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