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SIGIR
2008
ACM
14 years 10 months ago
Knowledge transformation from word space to document space
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...
Tao Li, Chris H. Q. Ding, Yi Zhang 0005, Bo Shao
SOSP
1997
ACM
14 years 11 months ago
Cashmere-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network
Low-latency remote-write networks, such as DEC’s Memory Channel, provide the possibility of transparent, inexpensive, large-scale shared-memory parallel computing on clusters of...
Robert Stets, Sandhya Dwarkadas, Nikos Hardavellas...
CIKM
2010
Springer
14 years 8 months ago
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Eric Eaton, Marie desJardins, Sara Jacob
BMCBI
2007
175views more  BMCBI 2007»
14 years 10 months ago
CLUSS: Clustering of protein sequences based on a new similarity measure
Background: The rapid burgeoning of available protein data makes the use of clustering within families of proteins increasingly important. The challenge is to identify subfamilies...
Abdellali Kelil, Shengrui Wang, Ryszard Brzezinski...
IJCNN
2008
IEEE
15 years 4 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...