MCLEAN (Multilevel CLustering Exploration As Network) proposes a visual analytics clustering methodology for guiding the user in the exploration and detection of clusters. We thereby combine a graphical representation of the clustered dataset as a network with the community finding algorithms into one coherent framework. Our approach entails displaying the results of the heuristics to users, providing a setting from which to start the exploration and data analysis. This is considered multilevel because allows the user to have an overview and detailed of the merging of elements into clusters.
The previous diagram displays the workflow of MCLEAN. This approach can be split into four stages:
To get the current development version from github:
# install.packages("devtools")
devtools::install_github("dalcaide/mclean")
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