Similar to our idea

Consider the same idea of generalisation for the numerical and categorical atributes

Numerical is the min, max range

and the categorical go to the lowest common ancestor

Method

Call it GCCG fancy name but nothing new 😂😂

Our is Scoring (Calculate score for each attribute based on the linear equation)

Arranging in increasing order

Clustering

so it is SAC Algorithm

Dont consider l diversity nor the temporal angle, this is the same as our basic algo