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BMCBI
2006
164views more  BMCBI 2006»
15 years 6 months ago
Evaluation of clustering algorithms for gene expression data
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
Susmita Datta, Somnath Datta
ICPR
2008
IEEE
16 years 12 days ago
Incremental clustering via nonnegative matrix factorization
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
Serhat Selcuk Bucak, Bilge Günsel
CIKM
2009
Springer
16 years 16 days ago
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
Shariq Bashir, Andreas Rauber
AAAI
2004
15 years 7 months ago
SenseClusters - Finding Clusters that Represent Word Senses
SenseClusters is a freely available word sense discrimination system that takes a purely unsupervised clustering approach. It uses no knowledge other than what is available in a r...
Amruta Purandare, Ted Pedersen
CAISE
2004
Springer
15 years 11 months ago
Ranked Matching for Service Descriptions using DAML-S
Abstract. The vision of Semantic Web services is that computer systems shall find eligible services autonomously. This can be realised with providing semantic description about ad...
Michael C. Jaeger, Stefan Tang