Create a combining matrix
The original number of classes: the matrix will define a combining from K to (K-1) classes.
Label of one of the two classes to be combined.
Label of the other class to be combined.
z is a vector (length K) whose kth entry is the probability that an observation belongs to the kth class in a K-class classification, then
combiM %*% z is the vector (length K-1) whose kth entry is the probability that the observation belongs to the kth class in the K-1-class classification obtained by combining classes
l2 in the initial classification.
J.-P. Baudry, A. E. Raftery, G. Celeux, K. Lo and R. Gottardo (2010). Combining mixture components for clustering. Journal of Computational and Graphical Statistics, 19(2):332-353.
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set.seed(1) data(Baudry_etal_2010_JCGS_examples) res <- mixmodCombi(ex4.1, nbCluster = 1:8) res@hierarchy[]@proba # each line of this matrix is the vector of the posterior probabilities of # each class for an observation in the 5-cluster solution t(combMat(5, 3, 4) %*% t(res@hierarchy[]@proba) ) # each line of this matrix is the vector of # the posterior probabilities of each class for an observation in the 4-cluster solution obtained by # combining clusters 3 and 4 in the 5-cluster solution
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