Constructor of Output class

Description

This class contains the parameters in the output after running classification.

Details

tik

a matrix of size (number of Curves) x (K), each column contains the weights of the curves in the corresponding class.

cls

a vector of size number of curves, containing the index of the class for each curve.

proportion

a matrix of size 1xnbClust (number of clusters), containing the estimated mixture proportions.

loglikelihood

the estimated log-likelihood.

aic

the value of AIC criterion.

bic

the value of BIC criterion.

icl

the value of ICL criterion.

dimensions

a vector of size nbClust of the dimensions of the specifique dimensions of the functional data in each class.

dimTotal

a matrix of size nbClust x nbRunIteration, where nbRunIteration is the number of iterations before the algorithm converge. Each column of the dimTotal matrix contain the dimensions on the coresponding iteration.

V

principal components variances per cluster

empty

logical parameter, and empty=TRUE if we have an empty class