Clustering Techniques and Their Challenges

Often considered more of an art than a science, books on clustering have been dominated by learning through example with techniques chosen almost through trial and error.

Even the two most popular, and most related, clustering methods—K-Means for partitioning and Ward's method for hierarchical clustering—have lacked the theoretical underpinning req