seetrees

Package that extends some stylo capabilities and enhances interpretation of (unsupervised clustering) analysis.

Installation

Install from GitHub (make sure you have devtools package):

devtools::install_github("perechen/seetrees")

Example

library(stylo)
library(seetrees)

data(lee) ## load one of the stylo datasets

stylo_res <- stylo(frequencies=lee,gui=F)
view_tree(stylo_res, k=2,right_margin=12) ## redraws a dendrogram based on distance matrix, cuts it to k groups, shows associated features 

Check ?view_tree() for more details.

It should produce two plots (a dendrogram cut to groups , and lists of words associated with groups)

Note: words associated with clusters are determined by calculating correlation ratio $\eta^2$ of word frequency ($f$) across clusters ($c$) and documents ($d$). Then results are filtered by p-value (which might not make sense at all). Notation adopted from Cafiero & Camps 2020, implementation by catdes() from FactoMineR

$$ \eta^2 = \frac{\sum_\nolimits{c} \sum_\nolimits{d}(f_{d,c}-\bar{f_c})^2}{\sum_\nolimits{c} \sum_\nolimits{d}(f_{d,c} - \bar{f})^2} $$

Check ?view_tree() for more details.