Table of Contents
1 Introduction
2 Manifold Learning Algorithms
2.1 Properties of Algorithms
2.2 Extracting the Local Information
2.3 Patching to Global Information
2.4 Comparison
3 Convergence Issues
3.1 Embedding Relation
3.2 Formulation of the Algorithms via Operator Theory
3.3 Approximation to the Laplace-Beltrami Operator
4 Summary