472 search results - page 34 / 95 » Clustering functional data with the SOM algorithm |
133
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KDD
2004
ACM
16 years 4 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
137
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SDM
2009
SIAM
16 years 1 months ago
2009
SIAM
Maximum margin clustering (MMC) has recently attracted considerable interests in both the data mining and machine learning communities. It first projects data samples to a kernel...
157
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JAIR
2010
15 years 2 months ago
2010
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
133
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STOC
2003
ACM
16 years 4 months ago
2003
ACM
We study clustering problems in the streaming model, where the goal is to cluster a set of points by making one pass (or a few passes) over the data using a small amount of storag...
131
Voted
MM
2004
ACM
15 years 9 months ago
2004
ACM
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...