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eng Baskin, Arthur B., III Reinke, Robert Eugene 2011-05-07T11:55:46Z 2011-05-07T11:55:46Z 10000-01-01 1991 Clustering is the problem of finding a good organization for data. Because there are many kinds of clustering problems, and because there are many possible clusterings for any data set, clustering programs use knowledge and assumptions about individual problems to make clustering tractable. Cluster analysis techniques allow knowledge to be expressed in the choice of a pairwise distance measure and in the choice of clustering algorithm. Conceptual clustering adds knowledge and preferences about cluster descriptions. In this dissertation, I describe symbolic clustering, which adds representation choice to the set of ways a data analyst can use problem-specific knowledge. I will develop an informal model for symbolic clustering, and use it to suggest where and how knowledge can be expressed in clustering. A language for creating symbolic clusterers, based on the model, has been developed and tested on three real clustering problems. The dissertation concludes with a discussion of the implications of the model and the results for clustering in general. Made available in DSpace on 2011-05-07T11:55:46Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9210964.pdf: 5999190 bytes, checksum: 0c873d084b04eae19c92399d85208943 (MD5) Previous issue date: 1991 Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:34:24Z Item is restricted indefinitely. Restriction data tranferred 2014-07-01T11:13:06-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission ETDs are only available to UIUC Users without author permission U of I Only AAI9210964 (UMI)AAI9210964 http://hdl.handle.net/2142/19061 Copyright 1991 Reinke, Robert Eugene Artificial Intelligence Computer Science Symbolic clustering text Computer Science Computer Science University of Illinois at Urbana-Champaign Dissertation Ph.D.