521 search results - page 32 / 105 » Coring method for clustering a graph |
151
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CIVR
2008
Springer
15 years 6 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...
161
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KDD
2010
ACM
15 years 7 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...
125
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DIS
2009
Springer
15 years 10 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...
126
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LWA
2007
15 years 5 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...
171
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CVPR
2012
IEEE
13 years 6 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...