Title: Why Use K-Means for Time Series Data? (Part Three)
Author: Anais Dotis-Georgiou
Abstract: In this article, published by DZone, InfluxData Developer Advocate Anais Dotis-Georgiou shows how she used K-Means and InfluxDB to detect anomalies in EKG data with the InfluxDB Python Client Library, and how she used Chronograf to alert on the anomalies. Through the course of the article, she discusses the steps she used for anomaly detection with K-means as well as how she used Chronograf to help her manage her alerts and autogenerate a TICKscript in order to use Kapacitor. This post also links to previous posts by the same author on the same topic (Part One and Part Two) that answer more questions about using K-Means for time series data.
[button link=”https://dzone.com/articles/why-use-k-means-for-time-series-data-part-three” newwindow=”yes”] Read full coverage[/button]