1839 search results - page 67 / 368 » Feature Selection in Clustering Problems |
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
COR
2008
13 years 9 months ago
2008
This paper presents two new mathematical formulations for the Point-Feature Cartographic Label Placement Problem (PFCLP ) and a new Lagrangean relaxation with clusters (LagClus) t...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
JMLR
2006
13 years 8 months ago
2006
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...