bullsEye.target

<p>Generated data set containing labels for the two clusters with untypical
ring shapes (circles)</p>

datasets

Algorithms and methods for model-based clustering and classification.
It supports various types of data: continuous, categorical and counting
and can handle mixed data of these types. It can fit Gaussian (with diagonal
covariance structure), gamma, categorical and Poisson models. The algorithms
also support missing values.

Serge Iovleff

MixAll

bullsEye.target: label Data: bullsEye.target

Description

Arguments

Examples