25041 search results - page 372 / 5009 » Algorithms for Clustering Data |
186
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FQAS
2004
Springer
16 years 26 days ago
2004
Springer
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
170
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ICMCS
2006
IEEE
16 years 1 months ago
2006
IEEE
EM algorithm is an important unsupervised clustering algorithm, but the algorithm has several limitations. In this paper, we propose a fast EM algorithm (FEMA) to address the limi...
218
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NBIS
2007
Springer
16 years 1 months ago
2007
Springer
Range queries, retrieving all keys within a given range, is an important add-on for Distributed Hash Tables (DHTs), as they rely only on exact key matching lookup. In this paper we...
210
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SSDBM
2005
IEEE
16 years 1 months ago
2005
IEEE
Modern geographic information systems do not only have to handle static information but also dynamically moving objects. Clustering algorithms for these moving objects provide new...
180
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GECCO
2003
Springer
16 years 21 days ago
2003
Springer
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...