Explaining kmeans clustering for unsupervised anomaly detection

Here is a video I did in work explaining how our anomaly detection works. https://www.youtube.com/watch?v=L1xleckyuDQ https://www.netdata.cloud/blog/how-netdatas-machine-learning-works

Time series anomaly detection using PCA

Here is a little recipe for using good old PCA to do some fast and efficient time series anomaly detection.

Time series anomaly detection in Go using GoLearn

Output of the Go script. I've posted recently about learning just enough Go to be dangerous over the christmas break, well here is a update on my adventures so far. The below script (which is probably horrible in places if you know Go properly - tips welcome) uses goroutines to pull data from some REST … Continue reading Time series anomaly detection in Go using GoLearn →

Time series clustering with tslearn

I've recently been playing around with some time series clustering tasks and came across the tslearn library. I was interested in seeing how easy it would be to get up and running some of the clustering functionality that is already built into tslearn, turns out it was quite easy and straight forward, perfect blog post … Continue reading Time series clustering with tslearn →