73 search results - page 5 / 15 » Discovering Multiple Clustering Solutions: Grouping Objects ... |
SCCC
2005
IEEE
14 years 5 days ago
2005
IEEE
— Fuzzy clustering methods have been widely used in many applications. These methods, including fuzzy k-means and Expectation Maximization, allow an object to be assigned to mult...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
Very large databases are required to store massive amounts of data that are continuously inserted and queried. Analyzing huge data sets and extracting valuable pattern in many appl...
ADMA
2009
Springer
14 years 1 months ago
2009
Springer
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
CVPR
2000
IEEE
13 years 11 months ago
2000
IEEE
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
AAAI
2012
11 years 9 months ago
2012
In many real applications, especially those involving data objects with complicated semantics, it is generally desirable to discover the relation between patterns in the input spa...