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» Clustering with Multiple Graphs
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CVPR
2012
IEEE
13 years 6 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
147
Voted
ASUNAM
2011
IEEE
14 years 4 months ago
Evolutionary Clustering and Analysis of Bibliographic Networks
—In this paper, we study the problem of evolutionary clustering of multi-typed objects in a heterogeneous bibliographic network. The traditional methods of homogeneous clustering...
Manish Gupta, Charu C. Aggarwal, Jiawei Han, Yizho...
HPCC
2007
Springer
15 years 10 months ago
An Adaptive Parallel Hierarchical Clustering Algorithm
Clustering of data has numerous applications and has been studied extensively. It is very important in Bioinformatics and data mining. Though many parallel algorithms have been des...
Zhaopeng Li, Kenli Li, Degui Xiao, Lei Yang
DATE
2010
IEEE
110views Hardware» more  DATE 2010»
15 years 9 months ago
Enabling efficient post-silicon debug by clustering of hardware-assertions
—Bug-free first silicon is not guaranteed by the existing pre-silicon verification techniques. To have impeccable products, it is now required to identify any bug as soon as the ...
Mohammad Hossein Neishaburi, Zeljko Zilic
111
Voted
AAAI
2006
15 years 5 months ago
Identifying and Generating Easy Sets of Constraints for Clustering
Clustering under constraints is a recent innovation in the artificial intelligence community that has yielded significant practical benefit. However, recent work has shown that fo...
Ian Davidson, S. S. Ravi