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» Trust analysis with clustering
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CIDM
2007
IEEE
16 years 1 months ago
Mining Subspace Correlations
— In recent applications of clustering such as gene expression microarray analysis, collaborative filtering, and web mining, object similarity is no longer measured by physical ...
Rave Harpaz, Robert M. Haralick
185
Voted
CSB
2005
IEEE
115views Bioinformatics» more  CSB 2005»
16 years 17 days ago
Mining Protein Sequence Motifs Representing Common 3D Structures
Understanding the relationship between protein structure and its sequence is one of the most important tasks of current bioinformatics research. In this work, recurring protein se...
Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang...
ICIAR
2004
Springer
16 years 10 days ago
Grading Textured Surfaces with Automated Soft Clustering in a Supervised SOM
Julio Martín-Herrero, Marcos Ferreiro-Arm&a...
BMCBI
2006
126views more  BMCBI 2006»
15 years 7 months ago
Effect of data normalization on fuzzy clustering of DNA microarray data
Background: Microarray technology has made it possible to simultaneously measure the expression levels of large numbers of genes in a short time. Gene expression data is informati...
Seo Young Kim, Jae Won Lee, Jong Sung Bae
212
Voted
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 9 months ago
Low rank modeling of signed networks
Trust networks, where people leave trust and distrust feedback, are becoming increasingly common. These networks may be regarded as signed graphs, where a positive edge weight cap...
Cho-Jui Hsieh, Kai-Yang Chiang, Inderjit S. Dhillo...