1013 search results - page 81 / 203 » Comparisons Between Data Clustering Algorithms |
GFKL
2005
Springer
14 years 2 months ago
2005
Springer
Mixture models represent results of gene expression cluster analysis in a more natural way than ’hard’ partitions. This is also true for the representation of gene labels, such...
AP2PC
2003
Springer
14 years 2 months ago
2003
Springer
This paper examines the decentralized formation of groups within a peer-to-peer multi-agent system. More specifically, it frames group formation as a clustering problem, and exami...
BIOCOMP
2008
13 years 10 months ago
2008
- Here proposed apriori method for identification of protein flexibility relies on one end-state conformation of the protein. This method has comparative advantage over many others...
KAIS
2006
13 years 9 months ago
2006
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
BCB
2010
13 years 4 months ago
2010
Biclustering is a very popular method to identify hidden co-regulation patterns among genes. There are numerous biclustering algorithms designed to undertake this challenging task...