Zoo: Zoo Data Set

In seriation: Infrastructure for Ordering Objects Using Seriation

Zoo Data Set

Description

A database containing characteristics of different animals. The database was created and donated by Richard S. Forsyth and is available from the UCI Machine Learning Repository (Newman et al, 1998).

Format

A data frame with 101 observations on the following 17 variables.

hair

a numeric vector

feathers

a numeric vector

eggs

a numeric vector

milk

a numeric vector

airborne

a numeric vector

aquatic

a numeric vector

predator

a numeric vector

toothed

a numeric vector

backbone

a numeric vector

breathes

a numeric vector

venomous

a numeric vector

fins

a numeric vector

legs

a numeric vector

tail

a numeric vector

domestic

a numeric vector

catsize

a numeric vector

class

a factor with levels amphibian bird fish insect invertebrate mammal reptile

Source

David Aha, Patrick Murphy, Christopher Merz, Eamonn Keogh, Cathy Blake, Seth Hettich, David Newman, Arthur Asuncion, Moshe Lichman, Dheeru Dua, Casey Graff (2023): UCI Machine Learning Repository, https://archive.ics.uci.edu/, University of California, Irvine.

See Also

Other data: Chameleon, Irish, Munsingen, SupremeCourt, Townships, Wood, create_lines_data(), is.robinson()

Examples

data("Zoo")
x <- scale(Zoo[, -17])


d <- dist(x)
pimage(d)

order <- seriate(d, method = "tsp")
pimage(d, order)

seriation documentation built on April 3, 2025, 6:22 p.m.