Clustering Concepts in Automatic Pattern Recognition
Patricia J. DeFilipps · Journal of International Crisis and Risk Communication Research · 1975
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.