univariateMixtureA vector with the following components:
"E": equal variance (one-dimensional)
"V": variable variance (one-dimensional)
multivariateMixtureA vector with the following components:
"EII": spherical, equal volume
"VII": spherical, unequal volume
"EEI": diagonal, equal volume and shape
"VEI": diagonal, varying volume, equal shape
"EVI": diagonal, equal volume, varying shape
"VVI": diagonal, varying volume and shape
"EEE": ellipsoidal, equal volume, shape, and orientation
"EEV": ellipsoidal, equal volume and equal shape
"VEV": ellipsoidal, equal shape
"VVV": ellipsoidal, varying volume, shape, and orientation
singleComponentA vector with the following components:
"X": one-dimensional
"XII": spherical
"XXI": diagonal
"XXX": ellipsoidal
References
C. Fraley and A. E. Raftery (2002).
Model-based clustering, discriminant analysis, and density estimation.
Journal of the American Statistical Association 97:611-631.
C. Fraley and A. E. Raftery (2006).
MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering,
Technical Report no. 504, Department of Statistics,
University of Washington.