I've recently run a very large data set through a multidimensional scaling analysis and am attempting to cluster the results into groups. I've read a few papers that utilize hierarchical clustering to accomplish this, however my data set is still rather large which is making Hclustering unfeasible. I have instead decided to use k-means, but I have yet to find any articles that either support this method or have used it.
Is k-means clustering a feasible option for my objective?