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153
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RECOMB
2004
Springer
16 years 6 months ago
Multiple Genome Alignment by Clustering Pairwise Matches
We have developed a multiple genome alignment algorithm by using a sequence clustering algorithm to combine local pairwise genome sequence matches produced by pairwise genome align...
Jeong-Hyeon Choi, Kwangmin Choi, Hwan-Gue Cho, Sun...
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
15 years 7 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...
154
Voted
MM
2004
ACM
99views Multimedia» more  MM 2004»
15 years 11 months ago
Locality preserving clustering for image database
It is important and challenging to make the growing image repositories easy to search and browse. Image clustering is a technique that helps in several ways, including image data ...
Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, Xuey...
ICPR
2008
IEEE
16 years 7 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin
AUSAI
2009
Springer
16 years 22 days ago
A Graph Distance Based Structural Clustering Approach for Networks
In the era of information explosion, structured data emerge on a large scale. As a description of structured data, network has drawn attention of researchers in many subjects. Netw...
Xin Su, Chunping Li