ClusterLabelPredict: Predict the cluster labels of some new data.
In dirichletprocess: Build Dirichlet Process Objects for Bayesian Modelling
View source: R/cluster_label_predict.R
ClusterLabelPredict R Documentation
Predict the cluster labels of some new data.
Description
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.
Usage
ClusterLabelPredict(dpobj, newData)
Arguments
dpobj
Fitted Dirichlet Process
newData
New data to have cluster labels predicted.
Value
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)
dirichletprocess documentation built on Aug. 25, 2023, 5:19 p.m.
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View source: R/cluster_label_predict.R
| ClusterLabelPredict | R Documentation |
Predict the cluster labels of some new data.
Description
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.
Usage
ClusterLabelPredict(dpobj, newData)
Arguments
dpobj |
Fitted Dirichlet Process |
newData |
New data to have cluster labels predicted. |
Value
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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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