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SSDBM
2000
IEEE
87views Database» more  SSDBM 2000»
15 years 9 months ago
A Tool for Nesting and Clustering Large Objects
In implementations of non-standard database systems, large objects are often embedded within an aggregate of different types, i.e. a tuple. For a given size and access probabilit...
Stefan Dieker, Ralf Hartmut Güting, Miguel Ro...
CLEF
2010
Springer
15 years 6 months ago
DAEDALUS at WebPS-3 2010: k-Medoids Clustering Using a Cost Function Minimization
This paper describes the participation of DAEDALUS team at the WebPS-3 Task 1, regarding Web People Search. The focus of our research is to evaluate and compare the computational r...
Sara Lana-Serrano, Julio Villena-Román, Jos...
PR
2007
293views more  PR 2007»
15 years 4 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
310
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SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 7 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
MICRO
2010
IEEE
153views Hardware» more  MICRO 2010»
15 years 2 months ago
Scalable Speculative Parallelization on Commodity Clusters
While clusters of commodity servers and switches are the most popular form of large-scale parallel computers, many programs are not easily parallelized for execution upon them. In...
Hanjun Kim, Arun Raman, Feng Liu, Jae W. Lee, Davi...