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The Mesa Software Suite

  • SAESAR:  Shape and Electrostatics with Structure Activity Relationship.  June 2006
  • ChemVC:  Cheminformatics Virtual Classroom.  December 2006.

  • 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.)
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