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ESANN
2007
15 years 8 months ago
Self-organized chains for clustering
This paper presents a new algorithm for clustering. It is an generalisation of the K-means algorithms . Each cluster will be represented by a chain of prototypes instead of being r...
Hassan Ghaziri
ICPR
2010
IEEE
15 years 4 months ago
On Dynamic Weighting of Data in Clustering with K-Alpha Means
Although many methods of refining initialization have appeared, the sensitivity of K-Means to initial centers is still an obstacle in applications. In this paper, we investigate a...
Sibao Chen, Haixian Wang, Bin Luo
KDD
2002
ACM
138views Data Mining» more  KDD 2002»
16 years 6 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman
IPPS
2007
IEEE
16 years 24 days ago
Modeling of NAMD's Network Input/Output on Large PC Clusters
This study examined the interplay among processor speed, cluster interconnect and file I/O, using parallel applications to quantify interactions. We focused on a common case wher...
Nancy Tran, Daniel A. Reed
ICPADS
2006
IEEE
16 years 16 days ago
Ensuring Fairness Among Participating Clusters During Multi-site Parallel Job Scheduling
Multi-cluster schedulers can dramatically improve average job turn-around time performance by making use of fragmented node resources available throughout the grid. By carefully m...
William M. Jones, Walter B. Ligon III