During the past decade and a half, there has been a considerable growth of interest in problems of pattern recognition. Contributions to the growth have been from many of the disciplines including statistics, control theory, operations research, biology, linguistics, and computer science. One of the basic approaches to pattern recognition is cluster analysis, in which various methodologies may be successfully employed. It is the purpose of this research report to investigate some of the basic clustering concepts in automatic pattern recognition.
Identifer | oai:union.ndltd.org:ucf.edu/oai:stars.library.ucf.edu:rtd-1144 |
Date | 01 January 1975 |
Creators | DeFilipps, Patricia J. |
Publisher | Florida Technological University |
Source Sets | University of Central Florida |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Retrospective Theses and Dissertations |
Rights | Public Domain |
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