Methodologies of Pattern Recognition is a collection of papers that deals with the two approaches to pattern recognition (geometrical and structural), the Robbins-Monro procedures, and the implications of interactive graphic computers for pattern recognition methodology. Some papers describe non-supervised learning in statistical pattern recognition, parallel computation in pattern recognition, and statistical analysis as a tool to make patterns emerge from data. One paper points out the importance of cluster processing in visual perception in which proximate points of similar brightness values form clusters. At higher levels of mental activity humans are efficient in clumping complex items into clusters. Another paper suggests a recognition method which combines versatility and an efficient noise-proofness in dealing with the two main problems in the field of recognition. These difficulties are the presence of a large variety of observed signals and the presence of interference. One paper reports on a possible feature selection for pattern recognition systems employing the minimization of population entropy. Electronic engineers, physicists, physiologists, psychologists, logicians, mathematicians, and philosophers will find great rewards in reading the above collection.

This book is a revised updated edition of the second edition which appeared 1974.The work described in this publication was initiated at the General Electric Company's Electronics Laboratory, Syracuse, N.Y., U.S.A. The author would like to take this opportunity to express his gratitude to the Electronics Laboratory for its support and encouragement in this work. Thanks are in particular due to Dr. J.J. Suran for his continued interest and help. It is impossible to acknowledge all the help the au thor has received from members of the Laboratory staff. However, the au thor is particularly indebted to r·lr. T.C. Robbins for managing the build ing of the word recognizer (described in Section 7.4) and for many help ful discussions. The work was later continued in Denmark, supported by two grants: no. 1382 in 1966 and no. 1511 in 1967, received from the Danish Govern ment Fund for Industrial and Scientific Research. The author is grateful to said Fund, and thereby the Danish taxpayers, who gave the author an opportunity for uninterrupted work with pattern recognitions problems. In August 1967 the author joined the staff of the Electronics Labo ratory, Technical University of Denmark, where the subsequent pattern recognition work took place; the author is happy to acknowledge his debt to the members of the staff and to his students for many stimulating and helpful discussions.