Anomaly Detection with K-Means Clustering

To explore anomaly detection, we'll be using an EKG data set from PhysioNet, which is essentially the squishy version of the data we'll be getting from servers. Since this data has a very regular waveform, it provides a good vehicle for us to explore the algorithms without getting bogged down in the complications that come with real-world data. The data is supplied in the a02.dat file. A Python module ekg_data.py is provided to read the data. Let's get started by importing the EKG data module and examining what the data looks like: