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BMCBI
2007
177views more  BMCBI 2007»
13 years 9 months ago
The BioPrompt-box: an ontology-based clustering tool for searching in biological databases
Background: High-throughput molecular biology provides new data at an incredible rate, so that the increase in the size of biological databanks is enormous and very rapid. This sc...
Claudio Corsi, Paolo Ferragina, Roberto Marangoni
ICML
2009
IEEE
14 years 9 months ago
Multi-view clustering via canonical correlation analysis
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
ICDM
2009
IEEE
176views Data Mining» more  ICDM 2009»
13 years 6 months ago
SISC: A Text Classification Approach Using Semi Supervised Subspace Clustering
Text classification poses some specific challenges. One such challenge is its high dimensionality where each document (data point) contains only a small subset of them. In this pap...
Mohammad Salim Ahmed, Latifur Khan
WEBI
2005
Springer
14 years 2 months ago
WICER: A Weighted Inter-Cluster Edge Ranking for Clustered Graphs
Several algorithms based on link analysis have been developed to measure the importance of nodes on a graph such as pages on the World Wide Web. PageRank and HITS are the most pop...
Divya Padmanabhan, Prasanna Kumar Desikan, Jaideep...
SIGIR
2008
ACM
13 years 9 months ago
Multi-document summarization using cluster-based link analysis
The Markov Random Walk model has been recently exploited for multi-document summarization by making use of the link relationships between sentences in the document set, under the ...
Xiaojun Wan, Jianwu Yang