25041 search results - page 156 / 5009 » Algorithms for Clustering Data |
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 ...
CSDA
2006
13 years 8 months ago
2006
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Query result clustering has recently attracted a lot of attention to provide users with a succinct overview of relevant results. However, little work has been done on organizing t...
ICDE
2010
IEEE
14 years 3 months ago
2010
IEEE
— Network clustering enables us to view a complex network at the macro level, by grouping its nodes into units whose characteristics and interrelationships are easier to analyze ...
ESANN
2008
13 years 9 months ago
2008
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...