679 search results - page 9 / 136 » Scaling Clustering Algorithms to Large Databases |
WEA
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Many large-scale optimization problems rely on graph theoretic solutions; yet high-performance computing has traditionally focused on regular applications with high degre...
CAS
2007
13 years 8 months ago
2007
Today, with the advances of computer storage and technology, there are huge datasets available, offering an opportunity to extract valuable information. Probabilistic approaches ...
TEC
2010
13 years 3 months ago
2010
A new algorithm for solving MAX-SAT problems is introduced which clusters good solutions, and restarts the search from the closest feasible solution to the centroid of each cluster...
SIGMOD
2001
ACM
14 years 8 months ago
2001
ACM
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
Pattern-based clustering is important in many applications, such as DNA micro-array data analysis, automatic recommendation systems and target marketing systems. However, pattern-...