Summary

(No information yet)

License

unknown (from Weka repository)

Dependencies

Tags

arff slurped Weka

Attribute Types

Integer

Download

# Instances: 2000 / # Attributes: 217
HDF5 (1.7 MB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format

arff

Name

mfeat

Version mldata

0

Comment

The multi-feature digit dataset

Oowned and donated by:

Robert P.W. Duin Department of Applied Physics Delft University of Technology P.O. Box 5046, 2600 GA Delft The Netherlands

email: duin@ph.tn.tudelft.nl http : //www.ph.tn.tudelft.nl/~duin tel +31 15 2786143

Usage

A slightly different version of the database is used in

M. van Breukelen, R.P.W. Duin, D.M.J. Tax, and J.E. den Hartog, Handwritten digit recognition by combined classifiers, Kybernetika, vol. 34, no. 4, 1998, 381-386.

M. van Breukelen and R.P.W. Duin, Neural Network Initialization by Combined Classifiers, in: A.K. Jain, S. Venkatesh, B.C. Lovell (eds.), ICPR'98, Proc. 14th Int. Conference on Pattern Recognition (Brisbane, Aug. 16-20),

The database as it is is used in:

A.K. Jain, R.P.W. Duin, J. Mao, Statisitcal Pattern Recognition: A Review, in preparation

Description

This dataset consists of features of handwritten numerals (0'--9') extracted from a collection of Dutch utility maps. 200 patterns per class (for a total of 2,000 patterns) have been digitized in binary images. These digits are represented in terms of the following six feature sets (files):

1. mfeat-fou: 76 Fourier coefficients of the character shapes;
2. mfeat-fac: 216 profile correlations;
3. mfeat-kar: 64 Karhunen-Love coefficients;
4. mfeat-pix: 240 pixel averages in 2 x 3 windows;
5. mfeat-zer: 47 Zernike moments;
6. mfeat-mor: 6 morphological features.

In each file the 2000 patterns are stored in ASCI on 2000 lines. The first 200 patterns are of class `0', followed by sets of 200 patterns for each of the classes 1' -9'. Corresponding patterns in different feature sets (files) correspond to the same original character.

The source image dataset is lost. Using the pixel-dataset (mfeat-pix) sampled versions of the original images may be obtained (15 x 16 pixels).

Total number of instances:

2000 (200 instances per class)

Total number of attributes:

649 (distributed over 6 datasets,see above)

no missing attributes

Total number of classes:

10

Format:

6 files, see above. Each file contains 2000 lines, one for each instance. Attributes are SPACE separated and can be loaded by Matlab as > load filename No missing attributes. Some are integer, others are real.

Information about the dataset CLASSTYPE: nominal CLASSINDEX: last

Names

att1,att2,att3,att4,att5,att6,att7,att8,att9,att10,

Types

1. numeric
2. numeric
3. numeric
4. numeric
5. numeric
6. numeric
7. numeric
8. numeric
9. numeric
10. numeric

Data (first 10 data points)

att1	att2	att3	att4	att5	att6	att7	att8	att9	att10	...
98	236	531	673	607	647	2	9	3	6	...
121	193	607	611	585	665	7	9	2	4	...
115	141	590	605	557	627	12	6	3	3	...
90	122	627	692	607	642	0	6	4	5	...
157	167	681	666	587	666	8	6	1	4	...
128	224	799	690	653	620	16	22	8	9	...
185	259	575	615	609	673	2	8	5	7	...
133	173	591	665	594	651	1	7	3	5	...
206	332	561	588	635	693	3	9	8	7	...
183	177	583	606	627	676	1	8	1	4	...
...	...	...	...	...	...	...	...	...	...	...

Description

A gzip'ed tar containing UCI and UCI KDD datasets (uci-20070111.tar.gz, 17,952,832 Bytes)

URLs

(No information yet)

Publications

Data Source

http://www.ics.uci.edu/~mlearn/MLRepository.html http://kdd.ics.uci.edu/

Measurement Details

Usage Scenario

revision 1

by mldata on 2010-11-06 09:58

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