# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ganDataModel" in publications use:' type: software license: GPL-2.0-or-later title: 'ganDataModel: Build a Metric Subspaces Data Model for a Data Source' version: 1.1.7 doi: 10.32614/CRAN.package.ganDataModel abstract: Neural networks are applied to create a density value function which approximates density values for a data source. The trained neural network is analyzed for different levels. For each level metric subspaces with density values above a level are determined. The obtained set of metric subspaces and the trained neural network are assembled into a data model. A prerequisite is the definition of a data source, the generation of generative data and the calculation of density values. These tasks are executed using package 'ganGenerativeData' . authors: - family-names: Mueller given-names: Werner email: werner.mueller5@chello.at repository: https://CRAN.R-project.org/package=ganDataModel date-released: '2024-07-21' contact: - family-names: Mueller given-names: Werner email: werner.mueller5@chello.at