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» Robust information-theoretic clustering
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RECOMB
2002
Springer
15 years 10 months ago
Probabilistic hierarchical clustering for biological data
Biological data, such as gene expression profiles or protein sequences, is often organized in a hierarchy of classes, where the instances assigned to "nearby" classes in...
Eran Segal, Daphne Koller
BMCBI
2010
177views more  BMCBI 2010»
14 years 10 months ago
Clustering of protein families into functional subtypes using Relative Complexity Measure with reduced amino acid alphabets
Background: Phylogenetic analysis can be used to divide a protein family into subfamilies in the absence of experimental information. Most phylogenetic analysis methods utilize mu...
Aydin Albayrak, Hasan H. Otu, Ugur O. Sezerman
BMCBI
2004
208views more  BMCBI 2004»
14 years 9 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
ICML
2004
IEEE
15 years 10 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
ICPADS
2006
IEEE
15 years 3 months ago
Oriented Overlays For Clustering Client Requests To Data-Centric Network Services
Many of the data-centric network services deployed today hold massive volumes of data at their origin websites, and access the data to dynamically generate responses to user reque...
Congchun He, Vijay Karamcheti