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ICAI
2004
15 years 8 months ago
A Comparison of Resampling Methods for Clustering Ensembles
-- Combination of multiple clusterings is an important task in the area of unsupervised learning. Inspired by the success of supervised bagging algorithms, we propose a resampling ...
Behrouz Minaei-Bidgoli, Alexander P. Topchy, Willi...
PDPTA
2003
15 years 8 months ago
Dependability Prediction of High Availability OSCAR Cluster Server
High availability (HA) computing has recently gained much attention, especially in enterprise and mission critical systems. The HA is now a necessity that is no longer regarded as...
Chokchai Leangsuksun, Lixin Shen, Tong Liu, Herton...
CANDC
2007
ACM
15 years 6 months ago
Dynamical characteristics of bacteria clustering by self-generated attractants
Motivated by the recent work on Escherichia coli bacteria clustering [Park, S., Wolanin, P.M., Yuzbashyan, E.A., Lin, H., Darnton, N.C., Stock, J.B., Silberzan, P., Austin, R., 20...
MunJu Kim, Songjoon Baek, Sung Hoon Jung, Kwang-Hy...
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...
BCB
2010
213views Bioinformatics» more  BCB 2010»
15 years 1 months ago
Markov clustering of protein interaction networks with improved balance and scalability
Markov Clustering (MCL) is a popular algorithm for clustering networks in bioinformatics such as protein-protein interaction networks and protein similarity networks. An important...
Venu Satuluri, Srinivasan Parthasarathy, Duygu Uca...