An endogenous variable is a variable in a statistical model that is changed or determined by its relationship with other variables within the model.

Data sets containing a combination of categorical and continuous variables (mixed data sets) are difficult to analyse since no generalized similarity measure exists for categorical variables.

Real-world data sets often contain both continuous and categorical variables yet most popular machine learning methods cannot by default handle both data types. This creates the need for researchers ...