Skip Navigation
York U: Redefine the PossibleHOME | Current Students | Faculty & Staff | Research | International
Search »FacultiesLibrariesCampus MapsYork U OrganizationDirectorySite Index
Future Students, Alumni & Visitors
2005 Technical Reports

Clustering Algorithms: Applications to Software Engineering, Computer Security, Biology and Medicine

Bill Andreopoulos

Technical Report CS-2005-09

York University

March 2005


This report discusses some important applications of clustering, including applications in software clustering, computer security, biology and medicine. Then it presents a literature survey, describing 40 previous clustering methods organized by type - such as methods that are partitioning, hierarchical, grid-based, density-based, model-based, unsupervised and supervised [Han01]. We explain how some of these methods have been applied to various fields. For example, we discuss applications of ACDC to software clustering and we discuss applications of hierarchical clustering to DNA microarray data.

Download paper in PDF format.

The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.