Title :
On a theoretical pattern recognition model of Ho and Agrawala
Author :
Nagy, G. ; Ho, Y. ; Agrawala, A.K.
fDate :
6/1/1968 12:00:00 AM
Abstract :
Two versions of an unsupervised learning algorithm for pattern recognition are compared by means of numerical calculations based on two-dimensional ellipsoidal pattern distributions.
Keywords :
Algorithm design and analysis; Character recognition; Convergence; Covariance matrix; Eigenvalues and eigenfunctions; Error analysis; Pattern analysis; Pattern recognition; Solids; Unsupervised learning;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1968.6478
