Testing for presence of clustering effect in multilevel model with high-dimensional predictors

Abstract (As big data become more accessible with the boom of data analyzing software, creating value through analytics has grown in demand. Dealing with large data sets in anomaly detection problems, accurate tagging of anomalies is oftentimes lacking and expensive. Unsupervised learning via cluste...

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Detalhes bibliográficos
Autor principal: San Juan, Frances Claire San Pedro (Autor)
Formato: Livro
Idioma:English
Assuntos: