| animals {cluster} | R Documentation |
This data set considers 6 binary attributes for 20 animals.
data(animals)
A data frame with 20 observations on 6 variables:
| [ , 1] | war | warm-blooded |
| [ , 2] | fly | can fly |
| [ , 3] | ver | vertebrate |
| [ , 4] | end | endangered |
| [ , 5] | gro | live in groups |
| [ , 6] | hai | have hair |
All variables are encoded as 1 = ‘no’, 2 = ‘yes’.
This dataset is useful for illustrating monothetic (only a single variable is used for each split) hierarchical clustering.
Leonard Kaufman and Peter J. Rousseeuw (1990): Finding Groups in Data (pp 297ff). New York: Wiley.
see Struyf, Hubert & Rousseeuw (1996), in agnes.
data(animals) apply(animals,2, table) # simple overview ma <- mona(animals) ma ## Plot similar to Figure 10 in Struyf et al (1996) plot(ma)