Dimensionality reduction for documents with nearest neighbor queries

Author:

Ingram Stephen,Munzner Tamara

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference54 articles.

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3. S. Ingram, Practical Considerations for Dimensionality reduction: User Guidance, Costly Distances, and Document Data, Ph.D. Thesis, University of British Columbia, Department of Computer Science, Chapter 4, 2013.

4. L. van der Maaten, Barnes-Hut-SNE, in: Proc. Intl. Conf. Learning Representations (ICLR), 2013, arXiv:1301.3342.

5. P.N. Yianilos, Data structures and algorithms for nearest neighbor search in general metric spaces, in: Proc. ACM-SIAM Symposium on Discrete Algorithms (SODA), 1993, pp. 311–321.

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