seeds: seeds dataset

In datasetsICR: Datasets from the Book "An Introduction to Clustering with R"

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]

Example output

datasetsICR documentation built on July 1, 2020, 9:14 p.m.