333 search results - page 10 / 67 » B-Matching for 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 29 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...
WCRE
2002
IEEE
14 years 12 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...
JMLR
2006
13 years 7 months ago
2006
Spectral clustering refers to a class of techniques which rely on the eigenstructure of a similarity matrix to partition points into disjoint clusters, with points in the same clu...