Unsupervised Anomaly detection on Spotify data: K-Means vs Local Outlier Factor

Exploring my Spotify data by finding what was unusual

Photo by Mohammad Metri on Unsplash

What are anomalies?

Anomalies are data patterns that deviate from the standard or assumpted behaviour from the rest of the data [1]. Given this definition, anomalies are neither terrible nor great things; they’re just anomalies.

Figure 1 illustrates a set of points in a two-dimensional space. There are two main clusters and some anomalies.

Figure 1. Two-dimensional dataset and its anomalies. Made by the author …

anomaly detection data data science data visualization detection k-means spotify unsupervised unsupervised learning