constrClassif: constrClassif
In VBmix: Variational Bayesian Mixture Models

Description Usage Arguments Value Author(s) See Also Examples

performs task analogous to mixKnn (i.e. leave-one-out classification), but uses synthetic representatives to infer labels, instead of k-NN. Each representative is obtained by concatenating all GMM (i.e. elements) of a specific label value, and applying vbconstr on this redundant mixture.

1	constrClassif(data, labels, KLparam = 500, rho = new.env())

`data`	list of GMM.
`labels`	vector of numeric labels associated to data.
`KLparam`	number of samples for jsmc.
`rho`	R environment object. Used to issue R commands within the C routine.

classification error ratio in [0,1].

Pierrick Bruneau

mixKnn vbconstr

temp1 <- sample(1:200, 150)
temp2 <- list()
for(i in temp1) temp2 <- appendToList(temp2, imgmods[[i]])
temp3 <- imglabels[temp1]
# de-activated because this process is very long...
#temp4 <- constrClassif(temp2, temp3)