Similarity measures

In various research applications it is frequently required that individuals or objects are pigeonholed, that is, they are classified into categories. To compare two classifications researchers use so-called similarity and association measures. These coefficients are formulas that express in a number the similarity or association between two classifications. A value of 1 usually indicates perfect similarity, whereas 0 reflects no similarity. In my research I study properties of various types of measures using algebra and analysis. Examples are Cohen’s kappa, weighted kappa, Cronbach’s alpha and the adjusted Rand index.

Staff members

Matthijs Warrens