Clustering

A Data Recovery Approach, Second Edition

af Boris Mirkin

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 methodsΓÇöK-Means for partitioning and Ward''s method for hierarchical clusteringΓÇöhave lacked the theoretical underpinning required to establish a firm relationship between the two methods and relevant interpretation aids. Other approaches, such as spectral clustering or... (Læs mere)