Study of dimensionality reduction as subspace data embedding linked by multidimensional scaling.
Wang, Wan Qiu.
Date of Issue2005
School of Electrical and Electronic Engineering
Some state-of-the-art dimensionality reduction techniques are reviewed and investigated in this thesis. Dimensionality reduction techniques can be categorized inti two serving different purposes. The first category is to mitigate the computational load and to address the Curse-of-Dimensionality, and the second category is to model the data spread or manifold. ISOMAP and LLE techniques are developed for the second purpose, and both of them are embedding techniques.
DRNTU::Engineering::Electrical and electronic engineering