23 search results - page 2 / 5 » Studying possibility in a clustering algorithm for RBFNN des... |
ICDE
1999
IEEE
14 years 6 months ago
1999
IEEE
Clustering partitions a collection of objects into groups called clusters, such that similar objects fall into the same group. Similarity between objects is defined by a distance ...
ICALP
2009
Springer
14 years 5 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...
SODA
2010
ACM
14 years 2 months ago
2010
ACM
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
SBCCI
2003
ACM
13 years 10 months ago
2003
ACM
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
CORR
2011
Springer
13 years 15 days ago
2011
Springer
In Combinatorial Public Projects, there is a set of projects that may be undertaken, and a set of selfinterested players with a stake in the set of projects chosen. A public plann...