Multidimensional scaling (MDS) is a mathematical technique that allows
us to map the distances between points in a high dimensional space
into a lower dimensional space. It is most useful when we can map into
a two-dimensional space as this will help us visually confirm the
different class groupings. The basic principle is to reduce distances
between points in a two dimensional space.
In this talk, we will cover the basic mathematical foundations of
these two techniques and explore their applications in speech
research. For eg., statistical pattern recognition techniques such as
these are increasingly being used to differentiate between various
phones.
Additional items of interest: