DZone | Why Use K-Means for Time Series Data? (Part One)

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Publication: DZone Title: Why Use K-Means for Time Series Data? (Part One) Author: Anais Dotis-Georgiou

Abstract: In this article, published by DZone, InfluxData Developer Advocate Anais Dotis-Georgiou discusses the concept of K-Means clustering and shows how it can be used to work with time series data. In the first section of her post, the author introduces the four major categories of Machine Learning systems and notes that K-Means clustering is an unsupervised learning technique. In the second section of her post, she explains why people use an unsupervised learning technique like K-Means clustering for time series data. This post also links to a sequel post by the same author (Part Two) that answers further questions about K-Means clustering.


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