Unsupervised Outlier detection algorithm based on k-NN and fuzzy logic

Given a set of observations an outlier is a measurement that differs significantly from other observations. In a real application, what is sought is to eliminate them since their processing implies statistical errors. Although there are several works that have addressed the outlier detection challenge, in recent works, efforts have been focused to unsupervised scenario because it does not require any a priori knowledge of data distributions and...