1400 search results - page 38 / 280 » Bayesian hierarchical clustering |
RECOMB
2009
Springer
14 years 10 months ago
2009
Springer
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
JDA
2010
13 years 8 months ago
2010
: Hierarchical graphs are graphs with layering structures; clustered graphs are graphs with recursive clustering structures. Both have applications in VLSI design, CASE tools, soft...
ICDM
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
SSDBM
2006
IEEE
14 years 3 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...
SIGGRAPH
1994
ACM
14 years 1 months ago
1994
ACM
We present an approach for accelerating hierarchical radiosity by clustering objects. Previous approaches constructed effective hierarchies by subdividing surfaces, but could not ...