Automatic Outlier Detection in Music Genre Datasets

Abstract

Outlier detection, also known as anomaly detection, is an important topic that has been studied for decades. An outlier detection system is able to identify anomalies in a dataset and thus improve data integrity by removing the detected outliers. It has been successfully applied to different types of data in various fields such as cyber-security, finance… (More)

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