3 search results - page 1 / 1 » Constrained K-means Clustering with Background Knowledge |
ICML
2001
IEEE
14 years 5 months ago
2001
IEEE
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
SAC
2010
ACM
13 years 11 months ago
2010
ACM
The aim of this short paper is to present a general method of using background knowledge to impose constraints in conceptual clustering of object-attribute relational data. The pr...
MICCAI
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Automatic delineation and robust measurement of fetal anatomical structures in 2D ultrasound images is a challenging task due to the complexity of the object appearance, ...