Customer Intelligence Tool for Rapid Understandable Segmentation
Creates pair plot from data table
k-clusters model
Model management function
Output Table
Preprocess Function
rpart.lists function
Plot a prettified rpart model
rpart.rules function
rpart.rules.table function
rpart.subrules.table function
Segment Function
Abstraction layer function
Tree Segment Function
Tree Segment Prettify Function
Validation function
A tool to easily run and visualise supervised and unsupervised state of the art customer segmentation. It is built like a pipeline covering the 3 main steps in a segmentation project: pre-processing, modelling, and plotting. Users can either run the pipeline as a whole, or choose to run any one of the three individual steps. It is equipped with a supervised option (tree optimisation) and an unsupervised option (k-clustering) as default models.