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Showing 1 to 3 of 3 for “"cluster evaluation"”.
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Multi-objective evolutionary algorithms for data clustering
… metaheuristics for the data-mining task of clustering. We �first investigate methods of evaluating the quality of clustering solutions, we then propose a new Multi-Objective clustering algorithm driven by multiple measures of cluster quality and then perform investigations into the …
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Evolutionary cluster costing for weapon system early design
The Evolutionary Cluster Costing Methodology (ECCM) is proposed for estimating the cost of designing and producing a weapon system at the early design stage. The issue is related to the particular difficulties which system designers often encounter in the absence of cost data on present system …
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A Probabilistic Classification Algorithm With Soft Classification Output
… data. Both CIGSCR and IGSCR use semisupervised clustering to locate clusters that are associated with classes in a classification scheme. This type of semisupervised classification method is particularly useful in remote sensing where datasets are large, training data are difficult to acquire, …