An short and simple introduction to K-Means clustering in SPSS 22. K-means clustering is a popular and commonly used unsupervised machine learning algorithm. K-Means is a non-hierarchical clustering technique. K-Means is especially useful when you have an idea of how many clusters actually exist in your data. It's main advantage over other clustering algorithms is speed. It is by far the fastest clustering algorithm.
This video is one of a series of videos by Raj S Murthy Ph.D. covering topics in the domains of statistics, analytics and machine learning.