350 search results - page 9 / 70 » Semidefinite spectral clustering |
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
WABI
2005
Springer
14 years 26 days ago
2005
Springer
Abstract. With the invention of biotechnological high throughput methods like DNA microarrays, biologists are capable of producing huge amounts of data. During the analysis of such...
ICPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Since a large number of clustering algorithms exist, aggregating different clustered partitions into a single consolidated one to obtain better results has become an important pro...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Many clustering algorithms only find one clustering solution. However, data can often be grouped and interpreted in many different ways. This is particularly true in the high-dim...
WCRE
2002
IEEE
14 years 9 days ago
2002
IEEE
The application of spectral methods to the software clustering problem has the advantage of producing results that are within a known factor of the optimal solution. Heuristic sea...