Kernels {Correlplot}

Wheat kernel data

Description

Wheat kernel data set taken from the UCI Machine Learning Repository

Usage

data("Kernels")

Format

A data frame with 210 observations on the following 8 variables.

area

Area of the kernel

perimeter

Perimeter of the kernel

compactness

Compactness (C = 4*pi*A/P^2)

length

Length of the kernel

width

Width of the kernel

asymmetry

Asymmetry coefficient

groove

Length of the groove of the kernel

variety

Variety (1=Kama, 2=Rosa, 3=Canadian)

Source

https://archive.ics.uci.edu/ml/datasets/seeds

References

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.

Examples

data(Kernels)