1595 search results - page 163 / 319 » A hierarchical clustering algorithm based on the Hungarian m... |
160
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BMCBI
2007
15 years 6 months ago
2007
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
172
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CVPR
2003
IEEE
16 years 8 months ago
2003
IEEE
We introduce two appearance-based methods for clustering a set of images of 3-D objects, acquired under varying illumination conditions, into disjoint subsets corresponding to ind...
231
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DILS
2008
Springer
15 years 8 months ago
2008
Springer
We propose a novel semi-supervised clustering method for the task of gene regulatory module discovery. The technique uses data on dna binding as prior knowledge to guide the proces...
193
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
155
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ACMSE
2007
ACM
15 years 10 months ago
2007
ACM
Modularity, hierarchy, and interaction locality are general approaches to reducing the complexity of any large system. A widely used principle in achieving these goals in designin...