Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
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Variance-Based Cluster Selection Criteria in a K-Means Framework for One-Mode Dissimilarity Data.Combined Mapping of Multiple clUsteriNg ALgorithms (COMMUNAL): A Robust Method for Selection of Cluster Number, K.Similarity measure and domain adaptation in multiple mixture model clustering: An application to image processing.Evolving Gaussian Mixture Models with Splitting and Merging Mutation Operators.A Statistical Framework for Improved Automatic Flaw Detection in Nondestructive Evaluation ImagesBootstrapping for Significance of Compact Clusters in Multidimensional Datasets
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Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
description
article
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im Januar 2010 veröffentlichter wissenschaftlicher Artikel
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wetenschappelijk artikel
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наукова стаття, опублікована в січні 2010
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name
Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
@en
Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
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type
label
Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
@en
Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
@nl
prefLabel
Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
@en
Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
@nl
P356
P1476
Simulating Data to Study Performance of Finite Mixture Modeling and Clustering Algorithms
@en
P2093
Volodymyr Melnykov
P304
P356
10.1198/JCGS.2009.08054
P577
2010-01-01T00:00:00Z