Modern operating systems run thousands of processes simultaneously. While most behave normally, some exhibit abnormal CPU usage patterns that can degrade system performance or indicate deeper issues such as bugs, misconfigurations, or malicious activity.

In this challenge, your task is to analyze CPU-related behavior across a wide variety of OS processes and identify patterns or clusters that stand out as anomalous. There are no labels specifying what each anomaly is — you will need to rely purely on unsupervised or exploratory techniques.

This task mimics real-world system analysis, where engineers must work with limited labeled data and derive meaningful insights from noisy and dynamic system information.