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  "Title": "Build a Metric Subspaces Data Model for a Data Source",
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  "Author": "Werner Mueller [aut, cre]",
  "Maintainer": "Werner Mueller <werner.mueller5@chello.at>",
  "Description": "Neural networks are applied to create a density value\nfunction which approximates density values for a data source.\nThe trained neural network is analyzed for different levels.\nFor each level metric subspaces with density values above a\nlevel are determined. The obtained set of metric subspaces and\nthe trained neural network are assembled into a data model. A\nprerequisite is the definition of a data source, the generation\nof generative data and the calculation of density values. These\ntasks are executed using package 'ganGenerativeData'\n<https://cran.r-project.org/package=ganGenerativeData>.",
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      "page": "dmBuildMetricSubspaces",
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