glcInitializeSplitHClust {RPMM}

Initialize Gaussian Latent Class via Hierarchical Clustering

Description

Creates a function for initializing latent class model using hierarchical clustering.

Usage

glcInitializeSplitHClust(metric = "manhattan", method = "ward")

Arguments

metric

Dissimilarity metric used for hierarchical clustering

method

Linkage method used for hierarchical clustering

Details

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.

Value

A function f(x) (see Details.)

See Also

glcInitializeSplitEigen, glcInitializeSplitFanny