124 search results - page 9 / 25 » Clusterer ensemble |
DAGM
2008
Springer
13 years 9 months ago
2008
Springer
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
KDD
2010
ACM
13 years 5 months ago
2010
ACM
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Todayâ...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
Abstract--Data clustering is a highly used knowledge extraction technique and is applied in more and more application domains. Over the last years, a lot of algorithms have been pr...
NN
2008
Springer
13 years 7 months ago
2008
Springer
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...