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» A new clustering algorithm for coordinate-free data
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BMCBI
2005
198views more  BMCBI 2005»
14 years 9 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
CIVR
2008
Springer
204views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Image clustering based on a shared nearest neighbors approach for tagged collections
Browsing and finding pictures in large-scale and heterogeneous collections is an important issue, most particularly for online photo sharing applications. Since such services know...
Pierre-Alain Moëllic, Jean-Emmanuel Haugeard,...
BIOINFORMATICS
2010
109views more  BIOINFORMATICS 2010»
14 years 10 months ago
Phylogenetic networks do not need to be complex: using fewer reticulations to represent conflicting clusters
Phylogenetic trees are widely used to display estimates of how groups of species evolved. Each phylogenetic tree can be seen as a collection of clusters, subgroups of the species ...
Leo van Iersel, Steven Kelk, Regula Rupp, Daniel H...
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
14 years 11 months ago
Making k-means Even Faster
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Greg Hamerly
ICASSP
2011
IEEE
14 years 1 months ago
Sparsity-based defect pixel compensation for arbitrary camera raw images
In high quality imaging even tiny distortions as small as a single pixel are visible and can not be accepted. Although the production quality of CMOS image sensors is very high, f...
Michael Schöberl, Jürgen Seiler, Bernhar...