Parallelizing the Unsupervised k-Windows Clustering Algorithm-Reference-Cited by-同舟云学术

Parallelizing the Unsupervised k-Windows Clustering Algorithm

Published:2004 Issue: Volume: Page:225-232
ISSN:0302-9743
Container-title:Parallel Processing and Applied Mathematics
language:
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Author:

Alevizos Panagiotis D.,Tasoulis Dimitris K.,Vrahatis Michael N.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-24669-5_29.pdf

Reference17 articles.

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3. Alevizos, P., Boutsinas, B., Tasoulis, D., Vrahatis, M.N.: Improving the Orthogonal Range Search k-windows Clustering Algorithm. In: Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence, Washington D.C., pp. 239–245 (2002)

4. Bentley, J.L., Maurer, H.A.: Efficient Worst-Case Data Structures for Range Searching. Acta Informatica 13, 1551–1568 (1980)

5. Chazelle, B.: Filtering Search: A New Approach to Query-Answering. SIAM J. Comput. 15(3), 703–724 (1986)

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