Note: Clustering
tools can use dissimilarity matrices generated via non-binary measures
and descriptors. Nor are the tools restricted to clustering chemical
data. These tools can be used with other applications with binary data
or real valued data. For example, presently, an academic user is
using the asymmetric clustering tools for analysis of Financial Service
Industry data. (See:
Incorporating sequential
information into traditional classification models by using an
element/position-sensitive SAM, Anita Prinzie and Dirk Van den Poel,
April, 2005. Available online at Decision
Support Systems.)