optidigits: Optical recognition of handwritten digits data set.
In DavidHofmeyr/spuds: Spectral Partitioning Using Density Separation
Description
Usage
Format
Source
References
Description
This dataset consists vectorised images of handwritten digits (0–9). The images have been compressed to 8x8, resulting in 64 dimensional observations.
Usage
1
Format
A list with entries $x (a 5620x64 matrix with each row corresponding to an individual image) 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
C. Kaynak (1995) Methods of Combining Multiple Classifiers and Their Applications to Handwritten Digit Recognition, MSc Thesis, Institute of Graduate Studies in Science and Engineering, Bogazici University.
E. Alpaydin, C. Kaynak (1998) Cascading Classifiers, Kybernetika.
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 vectorised images of handwritten digits (0–9). The images have been compressed to 8x8, resulting in 64 dimensional observations.
Usage
1 |
Format
A list with entries $x (a 5620x64 matrix with each row corresponding to an individual image) 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
C. Kaynak (1995) Methods of Combining Multiple Classifiers and Their Applications to Handwritten Digit Recognition, MSc Thesis, Institute of Graduate Studies in Science and Engineering, Bogazici University.
E. Alpaydin, C. Kaynak (1998) Cascading Classifiers, Kybernetika.
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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