%0 Journal Article
%T Microarray Data Classification Based on Principal Curves<br>基于主曲线的微阵列数据分类
%A QI Yun-song
%A SUN Huai-jiang
%A <br>祁云嵩
%A 孙怀江
%J 计算机科学
%D 2010
%I 
%X In this paper, a novel classifier was proposed to classify microarray data using principal curves. Principal curves are the non-linear generalization of principal components. Intuitively, a principal curve `passes through the middle of the data cloud'. As a kind of new classification technique,Principal Curve-based classifier (PC) involves a novel way of computing a principal curve for each class using the training data. A test sample is the class-label of the principal curve that is closest to it according to Expected Sctuared Error. Experimental results illustrate the performance of the PC is better than other existing approaches when a very small sample size of a microarray set is concerned.
%K Microarray data
%K Principal curve
%K Pattern classification<br>基因微阵列，主曲线，模式分类
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=985368C7137A1F696009B6D8802ABFD4&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=59906B3B2830C2C5&sid=38685BC770C663F2&eid=EF27C460877D3C9F&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0