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PKDD
2004
Springer
277views Data Mining» more  PKDD 2004»
15 years 10 months ago
Scalable Density-Based Distributed Clustering
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...
Eshref Januzaj, Hans-Peter Kriegel, Martin Pfeifle
AI
2005
Springer
15 years 10 months ago
A Comparative Study of Two Density-Based Spatial Clustering Algorithms for Very Large Datasets
Spatial clustering is an active research area in spatial data mining with various methods reported. In this paper, we compare two density-based methods, DBSCAN and DBRS. First, we ...
Xin Wang, Howard J. Hamilton
PDCAT
2004
Springer
15 years 10 months ago
Locabus: A Kernel to Kernel Communication Channel for Cluster Computing
Abstract. This paper proposes a kernel to kernel communication system for use in cluster computers. It is implemented directly on the Ethernet data link layer. This allows use of E...
Paul Werstein, Mark Pethick, Zhiyi Huang
BMCBI
2005
112views more  BMCBI 2005»
15 years 4 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
158
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SOSP
2009
ACM
16 years 1 months ago
Quincy: fair scheduling for distributed computing clusters
This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing nodes. This setting, in which scheduling computations ...
Michael Isard, Vijayan Prabhakaran, Jon Currey, Ud...