Neighbor embedding XOM for dimension reduction and visualization

Author:

Bunte Kerstin,Hammer Barbara,Villmann Thomas,Biehl Michael,Wismüller Axel

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference40 articles.

1. Bregman divergences and multi-dimensional scaling;Lai,2008

2. A global geometric framework for nonlinear dimensionality reduction;Tenenbaum;Science,2000

3. V. De Silva, J. B. Tenenbaum, Global versus local methods in nonlinear dimensionality reduction, in: Advances in Neural Information Processing Systems vol. 15, 2003, pp. 705–712. doi: 10.1.1.9.3407.

4. Nonlinear dimensionality reduction by locally linear embedding;Roweis;Science,2000

5. L.J.P. van der Maaten, E.O. Postma, H.J. van den Herik, Dimensionality reduction: a comparative review, Technical Report TiCC-TR 2009-005, Tilburg University, October 2009.

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