Description Usage Arguments Value
Compute responsabilities of each cluster on each instance
1 | expectation(priori, gaussParams, vMParams, linearData, angularData)
|
priori |
is a vector that represents the a priori probability of an instance belonging to an instace without further information |
gaussParams |
is a bn.fit object that saves the parameters of the multivariate gaussian Bayesian network |
vMParams |
is a list saving objects of vonMises Class for each cluster with their parameters mu and kappa |
linearData |
a dataframe of the variables that represents linear variables |
angularData |
a dataframe of the variables that represents angular variables |
list with two entries, the first one is the matrix of responsabilities the second one is de log-likelihood of the model
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