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» Uncertain Clustering: Models, Methods and Applications
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TFS
2008
117views more  TFS 2008»
14 years 9 months ago
A New Fuzzy Set Merging Technique Using Inclusion-Based Fuzzy Clustering
Abstract--This paper proposes a new method of merging parameterized fuzzy sets based on clustering in the parameters space, taking into account the degree of inclusion of each fuzz...
Samia Nefti, Mourad Oussalah, Uzay Kaymak
CGF
2010
171views more  CGF 2010»
14 years 6 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
JAVA
2000
Springer
15 years 1 months ago
Efficient replicated method invocation in Java
We describe a new approach to object replication in Java, aimed at improving the performance of parallel programs. Our programming model allows the programmer to define groups of ...
Jason Maassen, Thilo Kielmann, Henri E. Bal
SC
2000
ACM
15 years 2 months ago
Performance of Hybrid Message-Passing and Shared-Memory Parallelism for Discrete Element Modeling
The current trend in HPC hardware is towards clusters of shared-memory (SMP) compute nodes. For applications developers the major question is how best to program these SMP cluster...
D. S. Henty
AUSAI
2007
Springer
15 years 3 months ago
Merging Algorithm to Reduce Dimensionality in Application to Web-Mining
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
Vladimir Nikulin, Geoffrey J. McLachlan