603 search results - page 1 / 121 » Advances in constrained clustering |
ICDE
2010
IEEE
13 years 4 months ago
2010
IEEE
— Constrained clustering (semi-supervised learning) techniques have attracted more attention in recent years. However, the commonly used constraints are restricted to the instanc...
CCGRID
2005
IEEE
13 years 10 months ago
2005
IEEE
The scheme of advance reservations in dynamically provisioned optical networks is novel, and there are no gridbased applications designed to utilize this scheme. We formally defi...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper we propose a new partial closure-based constrained clustering algorithm. We introduce closures into the partial constrained clustering and we propose a new measureme...
EDBT
2010
ACM
13 years 8 months ago
2010
ACM
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...