146 search results - page 16 / 30 » A Distribution-Based Clustering Algorithm for Mining in Larg... |
SDM
2007
SIAM
13 years 8 months ago
2007
SIAM
High throughput biotechnologies have enabled scientists to collect a large number of genetic and phenotypic attributes for a large collection of samples. Computational methods are...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
DBISP2P
2008
Springer
13 years 9 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...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
GCB
2000
Springer
13 years 11 months ago
2000
Springer
We describe an algorithm for the automatic discovery of recurring patterns in protein structures. The patterns consist of individual residues having a defined order along the prote...