Alle Beiträge von Julian Keppel


Julian Keppel
Julian is a Big Data Scientist at inovex. He is interested in data storage, transport and analytics as well as scalable machine learning especially on Hadoop and the Spark framework.

Anomaly Detection: (Dis-)advantages of k-means clustering

In the previous post we talked about network anomaly detection in general and introduced a clustering approach using the very popular k-means algorithm. In this blog post we will show you some of the advantages and disadvantages of using k-means. Furthermore we will give a general overview about techniques other than clustering which can be used for anomaly detection. Weiterlesen