472 search results - page 40 / 95 » Clustering functional data with the SOM algorithm |
170
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BMCBI
2011
14 years 7 months ago
2011
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
131
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KDD
2007
ACM
16 years 4 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
140
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
160
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AAAI
2010
15 years 5 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
155
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ECML
2006
Springer
15 years 7 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...