157 search results - page 6 / 32 » Optimal meta search results clustering |
GECCO
2003
Springer
14 years 21 days ago
2003
Springer
Abstract. Software clustering techniques are useful for extracting architectural information about a system directly from its source code structure. This paper starts by examining ...
ICDM
2002
IEEE
14 years 13 days ago
2002
IEEE
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
TEC
2010
13 years 2 months ago
2010
In the real world, many optimization problems are dynamic. This requires an optimization algorithm to not only find the global optimal solution under a specific environment but als...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
PODS
2006
ACM
14 years 7 months ago
2006
ACM
We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...