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BIBM
2008
IEEE
107views Bioinformatics» more  BIBM 2008»
15 years 7 months ago
Multiway Clustering for Creating Biomedical Term Sets
We present an EM-based clustering method that can be used for constructing or augmenting ontologies such as MeSH. Our algorithm simultaneously clusters verbs and nouns using both ...
Vasileios Kandylas, Lyle H. Ungar, Ted Sandler, Sh...
79
Voted
DKE
2006
83views more  DKE 2006»
15 years 18 days ago
Bulk insertion for R-trees by seeded clustering
We propose a scalable technique called Seeded Clustering that allows us to maintain R-tree indices by bulk insertion while keeping pace with high data arrival rates. Our approach ...
Taewon Lee, Bongki Moon, Sukho Lee
100
Voted
JMLR
2008
83views more  JMLR 2008»
15 years 16 days ago
Generalization from Observed to Unobserved Features by Clustering
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
Eyal Krupka, Naftali Tishby
88
Voted
IS
2007
15 years 14 days ago
The leganet system: Freshness-aware transaction routing in a database cluster
We consider the use of a database cluster for Application Service Provider (ASP). In the ASP context, applications and databases can be update-intensive and must remain autonomous....
Stéphane Gançarski, Hubert Naacke, E...
BMCBI
2008
117views more  BMCBI 2008»
15 years 20 days ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...