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» Clustering with Diversity
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MCS
2007
Springer
14 years 1 months ago
Selecting Diversifying Heuristics for Cluster Ensembles
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva
ICS
2000
Tsinghua U.
13 years 11 months ago
A simulation-based study of scheduling mechanisms for a dynamic cluster environment
Scheduling of processes onto processors of a parallel machine has always been an important and challenging area of research. The issue becomes even more crucial and di cult as we ...
Yanyong Zhang, Anand Sivasubramaniam, José ...
WWW
2010
ACM
14 years 2 months ago
RankCompete: simultaneous ranking and clustering of web photos
With the explosive growth of digital cameras and online media, it has become crucial to design efficient methods that help users browse and search large image collections. The rec...
Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Lu...
BMCBI
2008
93views more  BMCBI 2008»
13 years 7 months ago
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throug
Background: The recent emergence of high-throughput automated image acquisition technologies has forever changed how cell biologists collect and analyze data. Historically, the in...
Zheng Yin, Xiaobo Zhou, Chris Bakal, Fuhai Li, You...
SBACPAD
2003
IEEE
111views Hardware» more  SBACPAD 2003»
14 years 26 days ago
Boosting Performance for I/O-Intensive Workload by Preemptive Job Migrations in a Cluster System
Load balancing in a cluster system has been investigated extensively, mainly focusing on the effective usage of global CPU and memory resources. However, if a significant portion ...
Xiao Qin, Hong Jiang, Yifeng Zhu, David R. Swanson