257 search results - page 19 / 52 » Clusters as Large-Scale |
SIROCCO
2008
13 years 10 months ago
2008
In this paper, we consider the clustering of resources on large scale platforms. More precisely, we target parallel applications consisting of independant tasks, where each task is...
PRIB
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Random Indexing K-tree is the combination of two algorithms suited for large scale document clustering. Keywords Random Indexing, K-tree, Dimensionality Reduction, B-tree, Search T...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
—Normalization before clustering is often needed for proximity indices, such as Euclidian distance, which are sensitive to differences in the magnitude or scales of the attribute...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...