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PR
2006
116views more  PR 2006»
14 years 9 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
15 years 10 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
VIS
2005
IEEE
204views Visualization» more  VIS 2005»
15 years 11 months ago
Differential Protein Expression Analysis via Liquid-Chromatography/Mass-Spectrometry Data Visualization
Differential protein expression analysis is one of the main challenges in proteomics. It denotes the search for proteins, whose encoding genes are differentially expressed under a...
Lars Linsen, Julia Löcherbach, Matthias Berth...
WWW
2011
ACM
14 years 4 months ago
Trust analysis with clustering
Web provides rich information about a variety of objects. Trustability is a major concern on the web. Truth establishment is an important task so as to provide the right informati...
Manish Gupta, Yizhou Sun, Jiawei Han
BMCBI
2006
202views more  BMCBI 2006»
14 years 9 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau