Manifold Learning Using Kernel Density Estimation and Local Principal Components Analysis

Kitty Mohammed, Hariharan Narayanan

We consider the problem of recovering a $d-$dimensional manifold $\mathcal{M}\subset {\mathbb{R}}^n$ when provided with noiseless samples from $\mathcal{M}$. There are many algorith…