seeds: Wheat seed kernel data set.
In DavidHofmeyr/spuds: Spectral Partitioning Using Density Separation
Description
Usage
Format
Source
References
Description
This data set contains measurements of geometrical properties of kernels belonging to three different varieties of wheat.
Usage
1
Format
A list with entries $x (a 210x7 matrix with each row corresponding to an individual seed) 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. Charytanowicz, J. Niewczas, P. Kulczycki, P.A. Kowalski, S. Lukasik, S. Zak, 'A Complete Gradient Clustering Algorithm for Features Analysis of X-ray Images', in: Information Technologies in Biomedicine, Ewa Pietka, Jacek Kawa (eds.), Springer-Verlag, Berlin-Heidelberg, 2010, pp. 15-24.
DavidHofmeyr/spuds documentation built on May 20, 2019, 9:40 a.m.
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Description Usage Format Source References
Description
This data set contains measurements of geometrical properties of kernels belonging to three different varieties of wheat.
Usage
1 |
Format
A list with entries $x (a 210x7 matrix with each row corresponding to an individual seed) 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. Charytanowicz, J. Niewczas, P. Kulczycki, P.A. Kowalski, S. Lukasik, S. Zak, 'A Complete Gradient Clustering Algorithm for Features Analysis of X-ray Images', in: Information Technologies in Biomedicine, Ewa Pietka, Jacek Kawa (eds.), Springer-Verlag, Berlin-Heidelberg, 2010, pp. 15-24.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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