High-Dimensional Unsupervised Active Learning Method

In this work, a hierarchical ensemble of projected clustering algorithm for high-dimensional data is proposed.The basic concept of the algorithm is based on the active learning method (ALM) which is a fuzzy learning scheme, inspired by some behavioral features of human brain functionality.High-dimensional unsupervised active learning method (HUALM)

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Umbilical cord arterial blood pH an indicator of rise in cesarean section rate due to false-positive indications by CTG

Background: Cesarean section rate is rising globally, now accounting for more than 1 in 5 (21%) of all childbirths.This number is set to continue increasing over the coming decade unless the factors which increase the rate of cesarean section are kept in check.Intrapartum cardiotocography (CTG) has shown a false-positive rate of cesarean section.Th

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