1420 search results - page 28 / 284 » Cluster Ensemble Selection |
AAAI
2008
15 years 2 months ago
2008
This paper presents a fast simulated annealing framework for combining multiple clusterings (i.e. clustering ensemble) based on some measures of agreement between partitions, whic...
91
Voted
ESWA
2008
15 years 17 days ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
123
Voted
CSIE
2009
IEEE
15 years 7 months ago
2009
IEEE
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
72
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Component-based detection methods have demonstrated their promise by integrating a set of part-detectors to deal with large appearance variations of the target. However, an essent...
122
Voted
ECML
2004
Springer
15 years 5 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...