472 search results - page 38 / 95 » Clustering functional data with the SOM algorithm |
168
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KDD
2007
ACM
16 years 4 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
150
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BMCBI
2008
15 years 4 months ago
2008
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
144
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WWW
2010
ACM
15 years 11 months ago
2010
ACM
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
153
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ICCV
2009
IEEE
16 years 9 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
148
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BMCBI
2008
15 years 4 months ago
2008
eraction networks. In this abstract, we extend this approach by mining functional flow patterns for the purpose of detecting small-sized modules for specific functions. Methods Our...