179 search results - page 5 / 36 » Parallel k h-Means Clustering for Large Data Sets |
ICDCS
2006
IEEE
15 years 3 months ago
2006
IEEE
Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
CIARP
2004
Springer
15 years 3 months ago
2004
Springer
In this paper we present a new parallel clustering algorithm based on the extended star clustering method. This algorithm can be used for example to cluster massive data sets of do...
CLUSTER
2003
IEEE
15 years 2 months ago
2003
IEEE
This paper presents a concurrent object model based on distributed recursive sets for data intensive applications that use complex, recursive data layouts. The set abstraction is ...
IDEAS
2006
IEEE
15 years 3 months ago
2006
IEEE
We present a parallel version of BIRCH with the objective of enhancing the scalability without compromising on the quality of clustering. The incoming data is distributed in a cyc...
CCGRID
2006
IEEE
15 years 3 months ago
2006
IEEE
The development of many complex simulation applications requires collaborative effort from researchers with different domain knowledge and expertise, possibly at different locatio...