25041 search results - page 139 / 5009 » Algorithms for Clustering Data |
122
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INFOVIS
1998
IEEE
15 years 6 months ago
1998
IEEE
The order and arrangement of dimensions (variates) is crucial for the effectiveness of a large number of visualization techniques such as parallel coordinates, scatterplots, recur...
165
Voted
IJCAI
2001
15 years 4 months ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
135
Voted
ICDM
2003
IEEE
15 years 7 months ago
2003
IEEE
Clustering is an important technique for understanding and analysis of large multi-dimensional datasets in many scientific applications. Most of clustering research to date has be...
121
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CIS
2008
Springer
15 years 4 months ago
2008
Springer
Rival Penalized Competitive Learning (RPCL) and its variants can perform clustering analysis efficiently with the ability of selecting the cluster number automatically. Although t...
103
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EPIA
2005
Springer
15 years 8 months ago
2005
Springer
Self-organizing maps (SOM) have been recognized as a powerful tool in data exploratoration, especially for the tasks of clustering on high dimensional data. However, clustering on ...