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Multi-objective clustering ensemble for gene expression data analysis
(ELSEVIER SCIENCE BV, 2009)
In this paper, we present an algorithm for cluster analysis that integrates aspects from cluster ensemble and multi-objective clustering. The algorithm is based on a Pareto-based multi-objective genetic algorithm, with a ...
Partitions selection strategy for set of clustering solutions
(ELSEVIER SCIENCE BV, 2010)
Clustering is a difficult task: there is no single cluster definition and the data can have more than one underlying structure. Pareto-based multi-objective genetic algorithms (e.g., MOCK Multi-Objective Clustering with ...
An application of a multi-objective tabu search algorithm to a bicriteria flowshop problem
(Kluwer Academic PublDordrechtHolanda, 2004)
The Ages, Metallicities, and Alpha Element Enhancements of Globular Clusters in the Elliptical NGC 5128: A Homogeneous Spectroscopic Study with Gemini/Gemini Multi-Object Spectrograph
(2010)
We present new integrated light spectroscopy of globular clusters (GCs) in NGC 5128, a nearby giant elliptical galaxy less than 4 Mpc away, in order to measure radial velocities and derive ages, metallicities, and alpha-element ...
Automatic object extraction from high resolution aerial imagery with simple linear iterative clustering and convolutional neural networks
(2019-09-17)
Recent advances in machine learning techniques for image classification have led to the development of robust approaches to both object detection and extraction. Traditional CNN architectures, such as LeNet, AlexNet and ...