Reducing class overlapping in supervised dimension reduction

Year
2018
Private Intelligence relation
INDIRECT
Link
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=tZ78MoQAAAAJ&cstart=20&pagesize=80&citation_for_view=tZ78MoQAAAAJ:hC7cP41nSMkC
Conference/Journal

Proceedings of the 9th international symposium on information and �

Author(s) from Distilled Foundation
Linh Ngo Van
How the work relates to Private Intelligence

Gained Experience

A supervised dimension reduction for reducing class overlapping