Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data.
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ABSTRACT:
SUBMITTER: Rodriguez J
PROVIDER: S-EPMC5087407 | biostudies-literature | 2016 Sep
REPOSITORIES: biostudies-literature
Publications
Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data.
Rodríguez Jorge J Barrera-Animas Ari Y AY Trejo Luis A LA Medina-Pérez Miguel Angel MA Monroy Raúl R
Sensors (Basel, Switzerland) 20160929 10
This study introduces the One-Class K-means with Randomly-projected features Algorithm (OCKRA). OCKRA is an ensemble of one-class classifiers built over multiple projections of a dataset according to random feature subsets. Algorithms found in the literature spread over a wide range of applications where ensembles of one-class classifiers have been satisfactorily applied; however, none is oriented to the area under our study: personal risk detection. OCKRA has been designed with the aim of impro ...[more]
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