glcInitializeSplitHClust {RPMM} | R Documentation |
Creates a function for initializing latent class model using hierarchical clustering.
glcInitializeSplitHClust(metric = "manhattan", method = "ward")
metric |
Dissimilarity metric used for hierarchical clustering |
method |
Linkage method used for hierarchical clustering |
Creates a function f(x)
that will take a data matrix x
and
initialize a weight matrix for a two-class latent class model.
Here, a two-branch split from hierarchical clustering will be used.
See glcTree
for example of using “glcInitializeSplit...” to create starting values.
A function f(x)
(see Details.)
glcInitializeSplitEigen
,
glcInitializeSplitFanny