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» Identifying Clusters from Positive Data
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BMCBI
2006
126views more  BMCBI 2006»
14 years 9 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
ICML
2010
IEEE
14 years 10 months ago
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
Zeeshan Syed, Ilan Rubinfeld
PERCOM
2007
ACM
15 years 9 months ago
Overhearing the Wireless Interface for 802.11-Based Positioning Systems
Not only the communication capabilities of 802.11, but also the capability to determine the position of mobile devices make 802.11 highly appealing for many application areas. Typ...
Thomas King, Thomas Haenselmann, Stephan Kopf, Wol...
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
14 years 11 months ago
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Vadeerat Rinsurongkawong, Christoph F. Eick
BMCBI
2007
133views more  BMCBI 2007»
14 years 9 months ago
Semantic integration to identify overlapping functional modules in protein interaction networks
Background: The systematic analysis of protein-protein interactions can enable a better understanding of cellular organization, processes and functions. Functional modules can be ...
Young-Rae Cho, Woochang Hwang, Murali Ramanathan, ...