Distributed Knowledge Discovery with Non Linear Dimensionality Reduction

Author:

Magdalinos Panagis,Vazirgiannis Michalis,Valsamou Dialecti

Publisher

Springer Berlin Heidelberg

Reference20 articles.

1. Abu-Khzam, F.N., Samatova, N.F., Ostrouchov, G., Langston, M.A., Geist, A.: Distributed dimension reduction algorithms for widely dispersed data. In: IASTED PDCS, pp. 167–174 (2002)

2. Andoni, A., Indyk, P.: Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. Commun. ACM 51(1) (2008)

3. Cai, D., He, X., Han, J.: Document clustering using locality preserving indexing. IEEE TKDE 17(12), 1624–1637 (2005)

4. Chakrabarti, S.: Mining the Web: Discovering Knowledge from Hypertext Data. Morgan Kaufmann, San Francisco (2002)

5. Gu, Q., Zhou, J.: Local relevance weighted maximum margin criterion for text classification. In: SIAM SDM, pp. 1135–1146 (2009)

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