3237 search results - page 49 / 648 » Clustering by Regression Analysis |
104
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ICML
2006
IEEE
16 years 19 days ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
101
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IPMI
2007
Springer
16 years 20 days ago
2007
Springer
A novel framework for joint clustering and point-by-point mapping of white matter fiber pathways is presented. Accurate clustering of the trajectories into fiber bundles requires p...
CORR
2010
Springer
14 years 6 months ago
2010
Springer
The diameter k-clustering problem is the problem of partitioning a finite subset of Rd into k subsets called clusters such that the maximum diameter of the clusters is minimized. ...
110
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ICDM
2005
IEEE
15 years 5 months ago
2005
IEEE
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
NIPS
2003
15 years 1 months ago
2003
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...