An object contains a 200 by 2 data matrix and a 200 by 1 cluster membership vector.
There are 4 equally distributed clusters in a two-dimensional space.
The first cluster consists of the first 50 data points,
the second cluster corresponds to the next 50 data points and so on.
References
Maronna, R., Jacovkis, P.M, 1974. Multivariate clustering procedures with variable metrics.
Biometrics 30, 499-505.