521 search results - page 32 / 105 » Coring method for clustering a graph |
201
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CIVR
2008
Springer
15 years 8 months ago
2008
Springer
Image clustering is useful in many retrieval and classification applications. The main goal of image clustering is to partition a given dataset into salient clusters such that the...
206
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KDD
2010
ACM
15 years 10 months ago
2010
ACM
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
163
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DIS
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Information networks, such as social networks and that extracted from bibliographic data, are changing dynamically over time. It is crucial to discover time-evolving comm...
161
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LWA
2007
15 years 8 months ago
2007
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
223
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...