Is there an algorithm that can quickly find such highly distributed data?For example, the values marked 1 in the figure are larger,
The larger range above it is smaller (the range marked 2).
How can I automatically find out the range of mark 1 and mark 2 through calculation?
Basic Data Analysis and ModelingWindowsRe: Is there an algorithm that can quickly find such highly distributed data?Hi @lala,
If you have only few independent and non-correlated X's with one response Y, I think a Decision Tree should be able to uncover X ranges related to different mean response Y.
Décision Trees is available in the platform Partitioning.
Hope this answer will help you,
