179 search results - page 24 / 36 » Parallel k h-Means Clustering for Large Data Sets |
ICDM
2006
IEEE
14 years 4 months ago
2006
IEEE
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
EUROPAR
2005
Springer
14 years 4 months ago
2005
Springer
The model of moldable task (MT) was introduced some years ago and has been proved to be an efficient way for implementing parallel applications. It considers a target application ...
CLUSTER
2002
IEEE
14 years 3 months ago
2002
IEEE
With the tremendous advances in processor and memory technology, I/O has risen to become the bottleneck in high-performance computing for many applications. The development of par...
CCGRID
2010
IEEE
13 years 8 months ago
2010
IEEE
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
BMCBI
2006
13 years 10 months ago
2006
Background: Protein sequence clustering has been widely used as a part of the analysis of protein structure and function. In most cases single linkage or graph-based clustering al...