GmmPath-class function

Gaussian mixture model hierarchical fit results class

An S4 class to represent a hierarchical fit of a gaussian mixture model, extend IclPath-class. class

Slots

• model: a GmmPrior-class object to store the model fitted

• name: generative model name

• icl: icl value of the fitted model

• K: number of extracted clusters over row and columns

• cl: a numeric vector with row and columns cluster indexes

• obs_stats: a list with the following elements:

    * counts: numeric vector of size K with number of elements in each clusters
    * gmm: list of size $K$ with statistics for each clusters
  

• path: a list of size K-1 with each part of the path described by:

    * icl1: icl value reach with this solution for alpha=1
    * logalpha: log(alpha) value were this solution is better than its parent
    * K: number of clusters
    * k,l: index of the cluster that were merged at this step
    * merge_mat: lower triangular matrix of delta icl values
    * obs_stats: a list with the following elements:
      
       * counts: numeric vector of size K with number of elements in each clusters
       * gmm: list of size $K$ with statistics for each clusters
  

• logalpha: value of log(alpha)

• ggtree: data.frame with complete merge tree for easy plotting with ggplot2

• tree: numeric vector with merge tree tree[i] contains the index of i father

• train_hist: data.frame with training history information (details depends on the training procedure)

See Also

plot,GmmFit,missing-method