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IJCNN
2000
IEEE
13 years 9 months ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
SDM
2007
SIAM
122views Data Mining» more  SDM 2007»
13 years 6 months ago
Incremental Spectral Clustering With Application to Monitoring of Evolving Blog Communities
In recent years, spectral clustering method has gained attentions because of its superior performance compared to other traditional clustering algorithms such as K-means algorithm...
Huazhong Ning, Wei Xu, Yun Chi, Yihong Gong, Thoma...
BMCBI
2008
142views more  BMCBI 2008»
13 years 4 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
PVM
2005
Springer
13 years 10 months ago
Scalable Fault Tolerant MPI: Extending the Recovery Algorithm
ct Fault Tolerant MPI (FT-MPI)[6] was designed as a solution to allow applications different methods to handle process failures beyond simple check-point restart schemes. The init...
Graham E. Fagg, Thara Angskun, George Bosilca, Jel...
SODA
2012
ACM
177views Algorithms» more  SODA 2012»
11 years 7 months ago
Stochastic coalescence in logarithmic time
The following distributed coalescence protocol was introduced by Dahlia Malkhi in 2006 motivated by applications in social networking. Initially there are n agents wishing to coal...
Po-Shen Loh, Eyal Lubetzky