332 search results - page 1 / 67 » Ranking and selecting clustering algorithms using a meta-lea... |
ICML
2003
IEEE
14 years 5 months ago
2003
IEEE
To address the problem of algorithm selection for the classification task, we equip a relational case base with new similarity measures that are able to cope with multirelational ...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract— We present a novel framework that applies a metalearning approach to clustering algorithms. Given a dataset, our meta-learning approach provides a ranking for the candi...
ICANN
2009
Springer
13 years 2 months ago
2009
Springer
Different algorithms have been proposed in the literature to cluster gene expression data, however there is no single algorithm that can be considered the best one independently on...
PRL
1998
13 years 4 months ago
1998
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...