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NE: Neighbor Embedding for visualization [Download]

This software package implements scalable optimization of Neighbor Embedding (NE), a set of a dimensionality reduction algorithms recently developed for data visualization. An NE finds a 2D or 3D mapping of high-dimensional data, trying to preserve the neighborhood according to certain information divergences. Typical NEs include

On the right is the scatter plot of the MNIST handwritten digits. See below or in the gallery for more visualization examples by using NE.

The usage is decribed in "readme.txt" in the package.

If you use the NE software in any publishable work, please cite at least one of the following papers:

This is experimental software provided as is; we welcome any comments and corrections but cannot give any guarantees about the code. If you have any comments or bug reports, please direct them to Zhirong Yang.