1013 search results - page 70 / 203 » Comparisons Between Data Clustering Algorithms |
EUROSYS
2010
ACM
14 years 4 months ago
2010
ACM
As organizations start to use data-intensive cluster computing systems like Hadoop and Dryad for more applications, there is a growing need to share clusters between users. Howeve...
PR
2007
13 years 7 months ago
2007
Classical clustering algorithms are based on the concept that a cluster center is a single point. Clusters which are not compact around a single point are not candidates for class...
ICAI
2004
13 years 9 months ago
2004
To ensure space flight safety, it is necessary to monitor myriad sensor readings on the ground and in flight. Since a space shuttle has many sensors, monitoring data and drawing c...
IMC
2007
ACM
13 years 9 months ago
2007
ACM
Entropy has recently gained considerable significance as an important metric for network measurement. Previous research has shown its utility in clustering traffic and detecting ...
BMCBI
2010
13 years 8 months ago
2010
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...