Path: utzoo!utgpu!news-server.csri.toronto.edu!clyde.concordia.ca!uunet!cs.utexas.edu!rutgers!mcnc!unccvax!hjingyi From: hjingyi@unccvax.uncc.edu (Hu Jingyi) Newsgroups: comp.ai.neural-nets Subject: help! Message-ID: <2428@unccvax.uncc.edu> Date: 7 Jul 90 21:43:26 GMT Organization: University of NC at Charlotte Lines: 19 Dear Sir/Madam : I have a question about the Levenshtein distance. in "Self-Organization and Associative Memory" book (page 67, 4 lines) T.Kohonen written: weighted Levenshtein distance WLD(A,B) = min{pa(i) + qb(i) + rc(i)} (2.93) where the coefficients p, q, and r may be obtained from the so-called confusion matrix of the alphabet, as the inverse probability for particular type of error to occur. Could you help me to get the p, q, and r confusion matrix of the alphabet? I want use the distance for some words matching processing application. Thanks a lot. Regard Hu Jingyi