I am a data science student using the PCA and LOF detectors for a project and I want to gain a deep understanding of how the algorithms decide whether an anomaly exists or not. Is there information somewhere that describes what is really going on underneath the hood? Thank you very much for any help!
label: question
Hello,
I am a data science student using the PCA and LOF detectors for a project and I want to gain a deep understanding of how the algorithms decide whether an anomaly exists or not. Is there information somewhere that describes what is really going on underneath the hood? Thank you very much for any help!