Measurements of geometrical properties of kernels belonging to three different varieties of wheat.
A data.frame with 210 rows on 8 variables (including 1 classification variable).
The dataset is about 210 wheat grains belonging to three different varieties on which
7 quantitative variables related to the internal kernel structure detected by using
a soft X-ray technique are observed. The information on the varietes is given by
variety and the remaining quantitative variables are
length of kernel,
width of kernel,
length of kernel groove,
Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
Dua, D., Graff, C.: UCI Machine Learning Repository. University of California, School of Information and Computer Science, Irvine, CA (2019)
Giordani, P., Ferraro, M.B., Martella, F.: An Introduction to Clustering with R. Springer, Singapore (2020)
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