ClusterLabelPredict function

Predict the cluster labels of some new data.

Given a fitted Dirichlet process object and some new data use this function to predict what clusters the new data belong to and associated cluster parameters.

ClusterLabelPredict(dpobj, newData)

Arguments

• dpobj: Fitted Dirichlet Process
• newData: New data to have cluster labels predicted.

Returns

A list of the predicted cluster labels of some new unseen data.

Examples

y <- rnorm(10)
dp <- DirichletProcessGaussian(y)
dp <- Fit(dp, 5)
newY <- rnorm(10, 1)
pred <- ClusterLabelPredict(dp, newY)