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- Clusters show us event reports that are similar across predefined dimensions
- They may represent:
- frequency of a type of event
- event trends in time
- potential prevention, etc
Image shows the same set of dots clustered into different groups of smaller size from left to right.
Frequency of a type of event: Many of the same type of incidents can be a bad sign. A rare incident may also be noticed.
Event trends over time: You could plot similar events in a cluster over time to see if things are getting better or worse.
Potential prevention: You can see what has worked in previous, similar incidents in the past and try to apply it in new events.
One way to create statistically significant clusters is to start with all the data in one cluster, and then systematically (using an algorithm) add to or remove elements from the cluster, so that its statistics improve.
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