I wanted to get some insight about which direction I should look in about Network Detection anomalies. I have been doing some research and I have found CLAD (Clustering and Anomaly Detection) which is an algorithm, however, I'm trying to find something simpler to understand to implement. Basically, I have a large set of data and I need to find outliers from the normal data. With the set of data I'm working with I'm assuming using just a basic outlier statement wouldn't work very well and was wondering if there are alternatives to something that will produce less errors in the final outcome. I just need an idea to do research and figure out if that is where I need to start.