1344 search results - page 67 / 269 » Cluster Analysis of High-Dimensional Data: A Case Study |
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literature. Despite the diversity of different clustering algorithms, solutions delive...
BMCBI
2007
13 years 7 months ago
2007
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
CCGRID
2009
IEEE
14 years 2 months ago
2009
IEEE
The deluge of available data for analysis demands the need to scale the performance of data mining implementations. With the current architectural trends, one of the major challen...
ICALP
2009
Springer
14 years 8 months ago
2009
Springer
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
BMCBI
2008
13 years 7 months ago
2008
Background: High-throughput methods that allow for measuring the expression of thousands of genes or proteins simultaneously have opened new avenues for studying biochemical proce...