I have a few questions. If you would be so kind to help.
so i am wondering, because this is pretty subjective (imo). What would you consider a "normal" percentage of outliers in your data set?
Lets say for example i have a data set of 10 million records and i perform a cluster analysis.
I am asking because i want to be sure that the cluster analysis i do actually does its' job. Would it be sensible to say that if you have an x amount of outliers or x percentage of them in your data, then my cluster analysis is not really accurate and i should either increase clusters count or change the method?
And if yes. How do you determine that?
Or at the very least examine the data again and rethink my strategy?