544 search results - page 1 / 109 » Clustering with Instance-level Constraints |
ECML
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Constrained clustering investigates how to incorporate domain knowledge in the clustering process. The domain knowledge takes the form of constraints that must hold on th...
ICDE
2012
IEEE
11 years 7 months ago
2012
IEEE
—Dimensionality reduction is essential in text mining since the dimensionality of text documents could easily reach several tens of thousands. Most recent efforts on dimensionali...
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...
DATAMINE
2007
13 years 4 months ago
2007
Recent work has looked at extending clustering algorithms with instance level must-link (ML) and cannot-link (CL) background information. Our work introduces δ and ǫ cluster lev...
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...