1990 in artificial intelligence

The -medoids method is a classical partitioning technique of clustering that splits a data set of objects into clusters, where the number of clusters is assumed to be known a priori (which implies that the programmer must specify k before the execution of a -medoids algorithm). The "goodness" of the given value of can be assessed with methods such as the silhouette method. The name of the clustering method was coined by Leonard Kaufman and Peter J. Rousseeuw with their PAM (Partitioning Around Medoids) algorithm.