The unsegmented case is the simplest classifier form
where the complete input data
is presented directly to the feature transformation,
the feature is extracted, and presented
as a single vector to the joint-PDF estimation,
typically a kernel-based approach such as
Gaussian mixtures (Section 13.2).
Applications include problems where the data
consists of a fixed-size measurement,
such as in text categorization based on
a specified set of word-counts.