3   Artículos

 
en línea
Francisco Melo Pereira and Rute C. Sofia    
This paper provides an analysis of two machine learning algorithms, density-based spatial clustering of applications with noise (DBSCAN) and the local outlier factor (LOF), applied in the detection of outliers in the context of a continuous framework for... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Álvaro Rollón de Pinedo, Mathieu Couplet, Bertrand Iooss, Nathalie Marie, Amandine Marrel, Elsa Merle and Roman Sueur    
Finding outliers in functional infinite-dimensional vector spaces is widely present in the industry for data that may originate from physical measurements or numerical simulations. An automatic and unsupervised process of outlier identification can help ... ver más
Revista: Applied Sciences    Formato: Electrónico

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