This dissertation aims to develop several statistical methods for learning the manifold and topology structures of data, provide the corresponding theoretical foundations, and apply the …
Principal manifolds are used to represent high-dimensional data in a low-dimensional space. They are higher dimensional generalizations of principal curves and surfaces. The existing methods …