Before revision: Nonlinear dimensionality reduction (NLDR) plays an important role in feature extraction and visualization of high dimensional data .
After revision: Nonlinear dimensionality reduction (NLDR) for data exploration. However, existing methods can often fail to preserve geometric, topological and/or distributional structures of data .