%0 Journal Article
%T AP Clustering Based Biomimetic Pattern Recognition<br>一种基于AP的仿生模式识别方法
%A DING Jie
%A YANG Jing-yu
%A <br>丁杰
%A 杨静宇
%J 计算机科学
%D 2011
%I 
%X A classify based on AP Clustering and biomimetic pattern recognition was proposed. It can relatively classify the samples by calculating the distance to the relative subspace. The training sample space was constructed by the AP algorithm and bionic pattern recognition theory. hhe posterior probabilities based on the class condition were estimated to reduce the reject rate caused by the space overlapping with low misclassification. Experiments were performed with Concordia University CENPARMI's handwritten digit database and Nanjing University of Science and Technology's handwritten amount database. Experimental results indicate that the proposed classifier has a higher recognition rate than the traditional classifiers.
%K Affinity propagation clustering
%K Biomimetic pattern recognition
%K Posterior probability
%K Class-conditional confidence transformation
%K Handwritten digit recognition<br>AP聚类，仿生模式识别，后验概率，类条件置信变换，手写体数字识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=8A169F8AFF9D05F2DB469CA5F2B1AD6A&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=94C357A881DFC066&sid=A1266CF37D675CF1&eid=82B74E516E8F9512&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=16