Novel Approaches to Unsupervised Clustering Through k-Windows Algorithm-Reference-Cited by-同舟云学术

Novel Approaches to Unsupervised Clustering Through k-Windows Algorithm

Published: Issue: Volume: Page:51-77
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Container-title:Knowledge Mining
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Author:

Tasoulis D. K.,Vrahatis M. N.

Publisher

Springer-Verlag

Link

http://link.springer.com/content/pdf/10.1007/3-540-32394-5_5.pdf

Reference59 articles.

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3. P. Alevizos. An algorithm for orthogonal range search in d ≥ 3 dimensions. In Proceedings of the 14th European Workshop on Computational Geometry. Barcelona, 1998.

4. P. Alevizos, D.K. Tasoulis, and M.N. Vrahatis. Parallelizing the unsupervised k-windows clustering algorithm. In R. Wyrzykowski, editor, Lecture Notes in Computer Science, volume 3019, pages 225–232. Springer-Verlag, 2004.

5. M. Ankerst, M. Breunig, H.-P. Kriegel, and J. Sander. Optics: Ordering points to identify the clustering structure. In ACM SIGMOD Int. Conf. on Management of Data, pages 49–60, 1999.

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