5659 search results - page 273 / 1132 » Comparing Clusterings in Space |
161
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SDM
2008
SIAM
15 years 7 months ago
2008
SIAM
Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
171
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NIPS
2004
15 years 7 months ago
2004
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
181
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PAMI
2006
15 years 5 months ago
2006
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
145
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JUCS
2007
15 years 5 months ago
2007
: The distribution of overlaps of solutions of a random constraint satisfaction problem (CSP) is an indicator of the overall geometry of its solution space. For random k-SAT, nonri...
178
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IJCV
2008
15 years 5 months ago
2008
Abstract We propose a novel and efficient surface matching approach for reassembling broken solids as well as for matching assembly components using cluster trees of oriented point...