mfdigits: Multiple feature digits data set.
In DavidHofmeyr/spuds: Spectral Partitioning Using Density Separation
Description
Usage
Format
Source
References
Description
This dataset consists of features derived from handwritten digits (0–9) taken from Dutch utility maps. We have included only the 210 profile correlation features.
Usage
1
Format
A list with entries $x (a 2000x210 matrix with each row corresponding to an individual handwritten digit) and $c (a vector of labels)
Source
UCI Machine Learning Repository.
References
Dheeru, D. and E. Karra Taniskidou (2017). UCI machine learning repository. https://archive.ics.uci.edu/ml
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.
DavidHofmeyr/spuds documentation built on May 20, 2019, 9:40 a.m.
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Description Usage Format Source References
Description
This dataset consists of features derived from handwritten digits (0–9) taken from Dutch utility maps. We have included only the 210 profile correlation features.
Usage
1 |
Format
A list with entries $x (a 2000x210 matrix with each row corresponding to an individual handwritten digit) and $c (a vector of labels)
Source
UCI Machine Learning Repository.
References
Dheeru, D. and E. Karra Taniskidou (2017). UCI machine learning repository. https://archive.ics.uci.edu/ml
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.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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