396 search results - page 9 / 80 » Scalability for Clustering Algorithms Revisited |
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
AAIM
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Modularity, the recently defined quality measure for clusterings, has attained instant popularity in the fields of social and natural sciences. We revisit the rationale b...
BCB
2010
13 years 4 months ago
2010
Markov Clustering (MCL) is a popular algorithm for clustering networks in bioinformatics such as protein-protein interaction networks and protein similarity networks. An important...
DBISP2P
2008
Springer
13 years 11 months ago
2008
Springer
K-Means clustering is widely used in information retrieval and data mining. Distributed K-Means variants have already been proposed, but none of the past algorithms scales to large...
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...