Machine Learning, Unsupervised Learning, Data Science, Artificial Intelligence, Clustering.
here the focus is on using unsupervised algorithms to detect anomalies in data. The general idea is to use these unsupervised algorithms to learn the typical distribution of observations and identify observations that deviate from those distributions. In univariate space (e.g. one variable) we can