Author :
Patrick, Edward A. ; Costello, Joseph P. ; Monds, Fabian C.
Abstract :
A hybrid computer is described for implementing decision-directed estimators for the two-class unsupervised estimation problem. Extensions of the system design to the multiclass problem has significant application to computerized medical diagnosis and other problems in communications and pattern recognition. These problems include resolving multiple target bearings in sonar and radar, clustering data such as arise in cell processing, locating modes in density functions for use in interactive data analysis systems, data compression, elimination of intersymbol interference, and many others.
Keywords :
Clustering, computer for pattern recognition, computer system, decision-directed, digital circuits for pattern recognition, hybrid computer for pattern recognition, information processing, machine learning, pattern recognition hardware, special purpose computer, unsupervised estimation.; Application software; Computer applications; Data analysis; Data compression; Density functional theory; Medical diagnosis; Pattern recognition; Radar; Sonar; System analysis and design; Clustering, computer for pattern recognition, computer system, decision-directed, digital circuits for pattern recognition, hybrid computer for pattern recognition, information processing, machine learning, pattern recognition hardware, special purpose computer, unsupervised estimation.;
