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It would certainly help separability to observe the data in a higher dimensional space, however when you're taking automated action against the results its some
by diab0lic 11y ago
It would certainly help separability to observe the data in a higher dimensional space, however when you're taking automated action against the results its sometimes pertinent to know which specific metric is causing the server to be an outlier.
For example if network tcp retransmits are throwing it off we probably just want the system to kill it and let the autoscaling group bring up another server. If its memory usage we probably want to page someone.
- pilooch 11y agoYes, which is a reason why all non-linear clustering techniques can be a challenge when investigation follows outlier detection.