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» Clustering by pattern similarity in large data sets
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KDD
2009
ACM
239views Data Mining» more  KDD 2009»
14 years 8 months ago
Applying syntactic similarity algorithms for enterprise information management
: ? Applying Syntactic Similarity Algorithms for Enterprise Information Management Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey III, Joseph Tucek, Alistair Veitch HP Laborato...
Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey...
DAGSTUHL
2009
13 years 8 months ago
Median Topographic Maps for Biomedical Data Sets
Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix on...
Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
ICDM
2010
IEEE
135views Data Mining» more  ICDM 2010»
13 years 5 months ago
Learning a Bi-Stochastic Data Similarity Matrix
An idealized clustering algorithm seeks to learn a cluster-adjacency matrix such that, if two data points belong to the same cluster, the corresponding entry would be 1; otherwise ...
Fei Wang, Ping Li, Arnd Christian König
BMCBI
2011
12 years 11 months ago
PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus ge
Background: Results of phylogenetic analysis are often visualized as phylogenetic trees. Such a tree can typically only include up to a few hundred sequences. When more than a few...
Jiajie Zhang, Amir Madany Mamlouk, Thomas Martinet...
BMCBI
2008
160views more  BMCBI 2008»
13 years 7 months ago
A comparison of four clustering methods for brain expression microarray data
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
Alexander L. Richards, Peter Holmans, Michael C. O...