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APPROX
2008
Springer
101views Algorithms» more  APPROX 2008»
15 years 8 months ago
Streaming Algorithms for k-Center Clustering with Outliers and with Anonymity
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
Richard Matthew McCutchen, Samir Khuller
CF
2005
ACM
15 years 8 months ago
Balancing clustering-induced stalls to improve performance in clustered processors
Clustered processors lose performance as a result of clusteringinduced stalls. Such stalls are the result of distributed resources and cluster communication delays. Our performanc...
Amirali Baniasadi
DKE
2007
162views more  DKE 2007»
15 years 6 months ago
A new algorithm for clustering search results
We develop a new algorithm for clustering search results. Differently from many other clustering systems that have been recently proposed as a post-processing step for Web search ...
Giansalvatore Mecca, Salvatore Raunich, Alessandro...
CEC
2010
IEEE
15 years 4 months ago
Real-coded differential crisp clustering for MRI brain image segmentation
Abstract-- In this paper, a segmentation technique of multispectral magnetic resonance image of the brain using a new differential evolution based crisp clustering is proposed. Rea...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
ICDM
2010
IEEE
216views Data Mining» more  ICDM 2010»
15 years 4 months ago
K-AP: Generating Specified K Clusters by Efficient Affinity Propagation
Abstract--The Affinity Propagation (AP) clustering algorithm proposed by Frey and Dueck (2007) provides an understandable, nearly optimal summary of a data set. However, it suffers...
Xiangliang Zhang, Wei Wang, Kjetil Nørv&ari...