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WIRN
2005
Springer
14 years 1 months ago
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
Alberto Bertoni, Giorgio Valentini
JACIII
2010
135views more  JACIII 2010»
13 years 6 months ago
Neural Network Ensemble-Based Solar Power Generation Short-Term Forecasting
—This paper presents the applicability of artificial neural networks for 24 hour ahead solar power generation forecasting of a 20 kW photovoltaic system, the developed forecastin...
Aymen Chaouachi, Rashad M. Kamel, Ken Nagasaka
ICMLA
2008
13 years 10 months ago
On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers
The test set accuracy for ensembles of classifiers selected based on single measures of accuracy and diversity as well as combinations of such measures is investigated. It is foun...
Tuve Löfström, Ulf Johansson, Henrik Bos...
ICML
2003
IEEE
14 years 9 months ago
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...
Xiaoli Zhang Fern, Carla E. Brodley
ICPR
2002
IEEE
14 years 1 months ago
Tree Pruning for Output Coded Ensembles
Output Coding is a method of converting a multiclass problem into several binary subproblems and gives an ensemble of binary classifiers. Like other ensemble methods, its perform...
Terry Windeatt, Gholamreza Ardeshir