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179
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NIPS
2004
15 years 8 months ago
2004
Clustering and prediction of sets of curves is an important problem in many areas of science and engineering. It is often the case that curves tend to be misaligned from each othe...
213
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SDM
2004
SIAM
15 years 8 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
186
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HAIS
2010
Springer
15 years 7 months ago
2010
Springer
A hybrid of two novel methods - additive fuzzy spectral clustering and lifting method over a taxonomy - is applied to analyse the research activities of a department. To be specifi...
196
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IJVR
2008
15 years 5 months ago
2008
In the late 90's, the emergence of high-performance 3D commodity graphics cards paved the way to the use of PC clusters for high-performance Virtual Reality (VR) applications....
161
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KES
2010
Springer
15 years 5 months ago
2010
Springer
Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed...