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» Rank-aware clustering of structured datasets
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84
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JMLR
2010
175views more  JMLR 2010»
14 years 4 months ago
Hierarchical Convex NMF for Clustering Massive Data
We present an extension of convex-hull non-negative matrix factorization (CH-NMF) which was recently proposed as a large scale variant of convex non-negative matrix factorization ...
Kristian Kersting, Mirwaes Wahabzada, Christian Th...
BMCBI
2005
92views more  BMCBI 2005»
14 years 9 months ago
Predicting functional sites with an automated algorithm suitable for heterogeneous datasets
Background: In a previous report (La et al., Proteins, 2005), we have demonstrated that the identification of phylogenetic motifs, protein sequence fragments conserving the overal...
David La, Dennis R. Livesay
AAIM
2009
Springer
101views Algorithms» more  AAIM 2009»
15 years 4 months ago
Orca Reduction and ContrAction Graph Clustering
During the last years, a wide range of huge networks has been made available to researchers. The discovery of natural groups, a task called graph clustering, in such datasets is a ...
Daniel Delling, Robert Görke, Christian Schul...
89
Voted
EEE
2005
IEEE
15 years 3 months ago
Learning the Kernel Matrix for XML Document Clustering
The rapid growth of XML adoption has urged for the need of a proper representation for semi-structured documents, where the document structural information has to be taken into ac...
Jianwu Yang, William Kwok-Wai Cheung, Xiaoou Chen
WEBDB
2010
Springer
168views Database» more  WEBDB 2010»
15 years 2 months ago
WikiAnalytics: Disambiguation of Keyword Search Results on Highly Heterogeneous Structured Data
Wikipedia infoboxes is an example of a seemingly structured, yet extraordinarily heterogeneous dataset, where any given record has only a tiny fraction of all possible fields. Su...
Andrey Balmin, Emiran Curtmola