  Recently, a number of statistical problems have found an unexpected solution
by inspecting them through a "modal point of view". These include classical
tasks such as clustering or regression. This has led to a renewed interest in
estimation and inference for the mode. This paper offers an extensive survey of
the traditional approaches to mode estimation and explores the consequences of
applying this modern modal methodology to other, seemingly unrelated, fields.
