Parallel Projections for Manifold Learning

Manifold learning is a widely used statistical tool which reduces the dimensionality of a data set while aiming to maintain both local and global properties of the data. We present a novel manifold learning technique which aligns local hyper planes to build a global representation of the data. A Minimum Spanning Tree provides the skeleton needed to traverse… (More)