Reusable components for partitioning clustering algorithms-Reference-Cited by-同舟云学术

Reusable components for partitioning clustering algorithms

Published:2009-10-20 Issue:1-4 Volume:32 Page:59-75
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Delibašić Boris,Kirchner Kathrin,Ruhland Johannes,Jovanović Miloš,Vukićević Milan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/content/pdf/10.1007/s10462-009-9133-6.pdf

Reference40 articles.

1. Adams M, Coplien J, Gamoke R, Hammer R, Keeve F, Nicodemus K (1998) Fault-tolerant telecommunication system patterns. In: Rising L (eds) The pattern handbook: techniques, strategies, and applications. Cambridge University Press, New York, pp 189–202

2. Alexander C (1979) The timeless way of building. Oxford University Press, New York

3. Alexander C (2005a) The nature of order book 1: the phenomenon of life. The Center for Environmental Structure, Berkeley, CA

4. Alexander C. (2005b) The nature of order book 2: the process of creating life. The Center for Environmental Structure, Berkeley, CA

5. Alexander C. (2005c) The nature of order book 3: a vision of a living world. The Center for Environmental Structure, Berkeley, CA

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