Anomaly Detection Ensembles
What is an anomaly detection ensemble? It is a bunch of anomaly detection methods put together to get a final anomaly score/prediction. …
Testing an Outlier Detection Method
Suppose you have developed an outlier detection method. What are the ways to test it? You can generate some random data and add a …
Anomaly detection data repositories
In this post we will look at data repositories available for anomaly detection. So, can you use a standard classification dataset for …
Which nonlinear dimension reduction methods preserve outliers inside a sphere?
In this post we will look at how well nonlinear dimension reduction techniques preserve outliers that are placed inside a sphere, when …
Anomaly detection dilemmas
Finding anomalies/outliers in data is a task that is increasingly getting more attention mainly due to the variety of applications …
Tips for increasing your happiness during self-isolation
Teaching first year students made me realize how difficult it is for young people to stay at home all the time, specially during this …
Using dobin for time series data
The R package dobin can be used as a dimension reduction tool for outlier detection. So, if we have a dataset of \(N\) independent …
