Previous Chapter Chapter 11: Cluster Analysis Next Chapter
Chapter 11: Cluster Analysis
Researchers often encounter situations best resolved by defining groups of homogeneous objects, whether they are individuals, firms, or even behaviours.
The most commonly used technique for this purpose is cluster analysis. Cluster analysis groups individuals or objects into clusters so that objects in the same cluster are more similar to one another than they are to objects in other clusters. The attempt is to maximize the homogeneity of objects within clusters, while also maximizing the heterogeneity between the clusters.
Cluster analysis is a group of multivariate techniques whose primary purpose is to group objects based on the characteristics they possess. It has been referred to as Q analysis, typology construction, classification analysis and numerical taxonomy.
The assessing structure of cluster analysis differs from ...