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» How to Use Ants for Hierarchical Clustering
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BMCBI
2007
166views more  BMCBI 2007»
14 years 11 months ago
How to decide which are the most pertinent overly-represented features during gene set enrichment analysis
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
Roland Barriot, David J. Sherman, Isabelle Dutour
IJCNN
2000
IEEE
15 years 3 months ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...
ACSW
2004
15 years 1 months ago
Clustering Stream Data by Regression Analysis
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
Masahiro Motoyoshi, Takao Miura, Isamu Shioya
ICDCS
2006
IEEE
15 years 5 months ago
A Hierarchical Optimization Framework for Autonomic Performance Management of Distributed Computing Systems
This paper develops a scalable online optimization framework for the autonomic performance management of distributed computing systems operating in a dynamic environment to satisf...
Nagarajan Kandasamy, Sherif Abdelwahed, Mohit Khan...
BTW
2003
Springer
109views Database» more  BTW 2003»
15 years 4 months ago
Transbase: a Leading-edge ROLAP Engine Supporting Multidimensional Indexing and Hierarchy Clustering
: Analysis-oriented database applications, such as data warehousing or customer relationship management, play a crucial role in the database area. In general, the multidimensional ...
Roland Pieringer, Klaus Elhardt, Frank Ramsak, Vol...