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Handbook of mixed membership models and their applications
In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling t...
Autores principales: | , , , |
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Lenguaje: | eng |
Publicado: |
Taylor and Francis
2014
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/1974849 |
Sumario: | In response to scientific needs for more diverse and structured explanations of statistical data, researchers have discovered how to model individual data points as belonging to multiple groups. Handbook of Mixed Membership Models and Their Applications shows you how to use these flexible modeling tools to uncover hidden patterns in modern high-dimensional multivariate data. It explores the use of the models in various application settings, including survey data, population genetics, text analysis, image processing and annotation, and molecular biology.Through examples using real data sets, yo |
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