25041 search results - page 110 / 5009 » Algorithms for Clustering Data |
CCS
2009
ACM
14 years 8 months ago
2009
ACM
Knowledge discovery on social network data can uncover latent social trends and produce valuable findings that benefit the welfare of the general public. A growing amount of resea...
AIRS
2006
Springer
13 years 12 months ago
2006
Springer
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
The goal of clustering is to identify distinct groups in a dataset. The basic idea of model-based clustering is to approximate the data density by a mixture model, typically a mix...
SODA
2010
ACM
14 years 5 months ago
2010
ACM
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
GFKL
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. We consider the problem of finding communities in large linked networks such as web structures or citation networks. We review similarity measures for linked objects and...