"That's the most difficult part of unsupervised learning techniques. You must use your business knowledge, the problem context or discuss the results with a subject matter expert to decide which solution might be the best. For example in a…"
"Depending on your system specifications running a hierarchichal clustering method like PROC CLUSTER for a 100,000 dataset might not be viable. You can use PROC FASTCLUS for a k-means optimization clustering method which can handle…"
I'm a computer engineer who became interested in advanced analytics when I learnt that machine learning algorithms could be applied for business applications. Since then I've specialized myself in such topics mainly using the SAS platform and the R programming language.