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» A practical comparison of two K-Means clustering algorithms
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COCOON
2005
Springer
15 years 3 months ago
Perfect Sorting by Reversals
In computational biology, gene order data is often modelled as signed permutations. A classical problem in genome comparison is to detect conserved segments in a permutation, that ...
Marie-France Sagot, Eric Tannier
PRL
2008
143views more  PRL 2008»
14 years 9 months ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...
BMCBI
2008
132views more  BMCBI 2008»
14 years 9 months ago
The SeqWord Genome Browser: an online tool for the identification and visualization of atypical regions of bacterial genomes thr
Background: Data mining in large DNA sequences is a major challenge in microbial genomics and bioinformatics. Oligonucleotide usage (OU) patterns provide a wealth of information f...
Hamilton Ganesan, Anna S. Rakitianskaia, Colin F. ...
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ESA
2005
Springer
123views Algorithms» more  ESA 2005»
15 years 3 months ago
Oblivious vs. Distribution-Based Sorting: An Experimental Evaluation
We compare two algorithms for sorting out-of-core data on a distributed-memory cluster. One algorithm, Csort, is a 3-pass oblivious algorithm. The other, Dsort, makes three passes...
Geeta Chaudhry, Thomas H. Cormen
CIS
2007
Springer
15 years 3 months ago
Mining with Noise Knowledge: Error Aware Data Mining
—Real-world data mining deals with noisy information sources where data collection inaccuracy, device limitations, data transmission and discretization errors, or man-made pertur...
Xindong Wu