Description Usage Arguments Value Author(s) References See Also Examples

Create a combining matrix

1 | ```
combMat(K,l1,l2)
``` |

`K` |
The original number of classes: the matrix will define a combining from K to (K-1) classes. |

`l1` |
Label of one of the two classes to be combined. |

`l2` |
Label of the other class to be combined. |

If `z`

is a vector (length *K*) whose *k*th entry is the probability that an observation belongs to the *k*th class in a *K*-class classification, then `combiM %*% z`

is the vector (length *K-1*) whose *k*th entry is the probability that the observation belongs to the *k*th class in the *K-1*-class classification obtained by combining classes `l1`

and `l2`

in the initial classification.

J.-P. Baudry

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.*

1 2 3 4 5 6 7 8 9 10 11 | ```
set.seed(1)
data(Baudry_etal_2010_JCGS_examples)
res <- mixmodCombi(ex4.1, nbCluster = 1:8)
res@hierarchy[[5]]@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[[5]]@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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