Again, the first step is scaling the data, since the radius ɛ will define the neighborhoods along with MinPts. (Tip: a good scaler for the problem at hand can be Sci-kit Learn’s Robust Scaler).

Outliers can also come in different flavours, depending on the environment: point outliers, contextual outliers, or collective outliers. Point outliers are single data points that lay far from the rest of the distribution. Contextual ou…

Outliers can be of two kinds: univariate and multivariate. Univariate outliers can be found when looking at a distribution of values in a single feature space. Multivariate outliers can be found in a n-dimensional space (of n-features). Looking at distributions in n-dimensional spaces can be very difficult for the human brain, that i…