1595 search results - page 57 / 319 » A hierarchical clustering algorithm based on the Hungarian m... |
154
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IJCAI
1997
15 years 7 months ago
1997
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
157
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PR
2006
15 years 6 months ago
2006
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
160
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SDM
2009
SIAM
16 years 3 months ago
2009
SIAM
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
211
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ICDAR
2011
IEEE
14 years 5 months ago
2011
IEEE
—Handwritten text line segmentation on real-world data presents significant challenges that cannot be overcome by any single technique. Given the diversity of approaches and the...
147
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NIPS
2003
15 years 7 months ago
2003
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...