seeds: Wheat kernel Data

In ManlyMix: Manly Mixture Modeling and Model-Based Clustering

Wheat kernel Data

Description

The examined group comprised kernels belonging to three different varieties of wheat: Kama, Rosa and Canadian, 70 elements each, randomly selected for the experiment. High quality visualization of the internal kernel structure was detected using a soft X-ray technique. Studies were conducted using combine harvested wheat grain originating from experimental fields, explored at the Institute of Agrophysics of the Polish Academy of Sciences in Lublin.

Usage

data(seeds)

Format

A data frame with 210 observations on the following 7 variables.

V1

Area A;

V2

Perimeter P;

V3

Compactness;

V4

Length of kernel;

V5

Width of kernel;

V6

Asymmetry coefficient;

V7

Length of kernel groove;

V8

Seed species: 1, 2, 3

References

M. Charytanowicz, J. Niewczas, P. Kulczycki, P.A. Kowalski, S. Lukasik, S. Zak (2010), A Complete Gradient Clustering Algorithm for Features Analysis of X-ray Images. Information Technologies in Biomedicine, Ewa Pietka, Jacek Kawa, Springer-Verlag, Berlin-Heidelberg.

Examples

data(seeds)

ManlyMix documentation built on April 29, 2023, 9:17 a.m.