| seeds {datasetsICR} | R Documentation |
seeds dataset
Description
Measurements of geometrical properties of kernels belonging to three different varieties of wheat.
Usage
data(seeds)Format
A data.frame with 210 rows on 8 variables (including 1 classification variable).
Details
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 area, perimeter, compactness, length of kernel, width of kernel, asymmetry coefficient, length of kernel groove, variety.
Author(s)
Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
Source
http://archive.ics.uci.edu/ml
References
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)
Examples
data(seeds)
X <- seeds[, 1:7]
class <- seeds[,8]