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AAAI
2006
15 years 5 months ago
When Is Constrained Clustering Beneficial, and Why?
Several researchers have illustrated that constraints can improve the results of a variety of clustering algorithms. However, there can be a large variation in this improvement, e...
Kiri Wagstaff, Sugato Basu, Ian Davidson
WSC
2001
15 years 5 months ago
On the use of fuzzy clustering in construction simulation
This paper presents a methodology that integrates fuzzy clustering and computer simulation and demonstrates its use in modeling earthmoving operations. A simulation system (SimEar...
Mohamed Marzouk, Osama Moselhi
117
Voted
CLEIEJ
2000
91views more  CLEIEJ 2000»
15 years 4 months ago
Low Cost Cluster Architectures for Parallel and Distributed Processing
Cluster based architectures are standing out in the last years as an alternative for the construction of versatile, low cost parallel machines. This versatility permits their use ...
Giancarlo C. Mai, César A. F. De Rose
112
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INFORMATICALT
2002
136views more  INFORMATICALT 2002»
15 years 3 months ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius
113
Voted
SIGOPS
2008
119views more  SIGOPS 2008»
15 years 4 months ago
Project Kittyhawk: building a global-scale computer: Blue Gene/P as a generic computing platform
This paper describes Project Kittyhawk, an undertaking at IBM Research to explore the construction of a nextgeneration platform capable of hosting many simultaneous web-scale work...
Jonathan Appavoo, Volkmar Uhlig, Amos Waterland