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» Finding Groups in Data: Cluster Analysis with Ants
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BMCBI
2007
126views more  BMCBI 2007»
14 years 12 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...
PODS
2009
ACM
119views Database» more  PODS 2009»
16 years 11 days ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
CDC
2010
IEEE
107views Control Systems» more  CDC 2010»
14 years 6 months ago
Deployment of an unreliable robotic sensor network for spatial estimation
This paper studies an optimal deployment problem for a network of robotic sensors moving in the real line. Given a spatial process of interest, each individual sensor sends a pack...
Jorge Cortes
VLDB
2004
ACM
115views Database» more  VLDB 2004»
15 years 5 months ago
Semantic Mining and Analysis of Gene Expression Data
Association rules can reveal biological relevant relationship between genes and environments / categories. However, most existing association rule mining algorithms are rendered i...
Xin Xu, Gao Cong, Beng Chin Ooi, Kian-Lee Tan, Ant...
PERVASIVE
2009
Springer
15 years 6 months ago
Methodologies for Continuous Cellular Tower Data Analysis
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
Nathan Eagle, John A. Quinn, Aaron Clauset