Initialization for Mixture Discriminant Analysis
Provide starting weights for the mda function which
performs discriminant analysis by gaussian mixtures.
mda.start(x, g, subclasses = 3, trace.mda.start = FALSE,
start.method = c("kmeans", "lvq"), tries = 5,
criterion = c("misclassification", "deviance"), ...)x |
The x data, or an mda object. |
g |
The response vector g. |
subclasses |
number of subclasses per class, as in |
trace.mda.start |
Show results of each iteration. |
start.method |
Either |
tries |
Number of random starts. |
criterion |
By default, classification errors on the training data. Posterior deviance is also an option. |
... |
arguments to be passed to the mda fitter when using posterior deviance. |
A list of weight matrices, one for each class.
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