396 search results - page 7 / 80 » Scalability for Clustering Algorithms Revisited |
KDD
1998
ACM
14 years 23 days ago
1998
ACM
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
ICCS
2005
Springer
14 years 2 months ago
2005
Springer
We revisit and use the dependence transformation method to generate parallel algorithms suitable for cluster and grid computing. We illustrate this method in two applications: to o...
ECIR
2010
Springer
13 years 10 months ago
2010
Springer
Text clustering is an established technique for improving quality in information retrieval, for both centralized and distributed environments. However, for highly distributed envir...
EMNLP
2008
13 years 10 months ago
2008
This paper explores the challenge of scaling up language processing algorithms to increasingly large datasets. While cluster computing has been available in commercial environment...
SDM
2007
SIAM
13 years 10 months ago
2007
SIAM
In distributed data mining models, adopting a flat node distribution model can affect scalability. To address the problem of modularity, flexibility and scalability, we propose...