1105 search results - page 70 / 221 » Approximate Spectral Clustering. |
KAIS
2011
13 years 5 months ago
2011
Triangle counting is an important problem in graph mining. Two frequently used metrics in complex network analysis which require the count of triangles are the clustering coefficie...
ALENEX
2008
13 years 11 months ago
2008
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
PODS
2005
ACM
14 years 10 months ago
2005
ACM
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
COLT
2006
Springer
14 years 1 months ago
2006
Springer
Stability is a common tool to verify the validity of sample based algorithms. In clustering it is widely used to tune the parameters of the algorithm, such as the number k of clust...
DAS
2008
Springer
13 years 11 months ago
2008
Springer
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...