ABSTRACT

Clustering and classification are fundamental across many sciences or

practical data processing in business fields. A variety of methods and pro-

cedures have been studied for that purpose. As mentioned in Chapter 1,

many clustering algorithms were proposed on the basis of proximity data, to

which multidimensional scaling is also applicable. In this close connection,

cluster analysis has been developed for asymmetric data under two major

approaches.