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» Robust Hierarchical Clustering
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TIP
2010
97views more  TIP 2010»
13 years 5 months ago
Image Clustering Using Local Discriminant Models and Global Integration
In this paper, we propose a new image clustering algorithm, referred to as Clustering using Local Discriminant Models and Global Integration (LDMGI). To deal with the data points s...
Yi Yang, Dong Xu, Feiping Nie, Shuicheng Yan, Yuet...
BMCBI
2010
177views more  BMCBI 2010»
13 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»
13 years 10 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
14 years 11 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
14 years 4 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