265 search results - page 35 / 53 » Approximation algorithms for clustering uncertain data |
BMCBI
2008
13 years 7 months ago
2008
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
GLOBECOM
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
SSD
2007
Springer
14 years 1 months ago
2007
Springer
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
ICALP
2009
Springer
14 years 8 months ago
2009
Springer
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...