manifold learning based methods have been widely used for non-linear
dimensionality reduction (NLDR). However, in many practical settings, the need
to process streaming data is a challenge for such methods, owing
Manifold learning is a set of methods to find the low dimensional structure of data, allowing visualization, de-noising, and interpretation, with a focus on statistical foundations and parameter choices.