First, a large number of IMs have been proposed in the literature and thus a systematic study that reviews and compares these methods is desirable.
Second, these IMs can be used to initialize other partitional clustering algorithms such as fuzzy c-means and its variants and expectation maximization. Third, most of these IMs can be used independently of k-means as standalone clustering algorithms.