%0 Journal Article
%T Missing Value Estimation Based on ICA in Data Mining<br>数据挖掘中基于ICA的缺失数据值的估计
%A PENG Hong-Yi
%A ZHU Si-Ming
%A JIANG Chun-Fu
%A <br>彭红毅
%A 朱思铭
%A 蒋春福
%J 计算机科学
%D 2005
%I 
%X This paper introduces the study state of missing data as well as ICA's characteristics and foreground in brief,proposes a model,which is named as ICA-MDH model in this paper,based on ICA which is used abroad to dis- pose missing data under the circumstances of that data remain correlative and non-Gaussian distribution.This model takes full use of the known information of the given data to estimate missing data.By dealing with some economic data, the experiment verifies the results that ICA method is much better than PCAs and mean method,validating the correct- ness and reasonableness for the proposed model in this paper.
%K Missing data
%K ICA(independent component analysis)
%K Correlation
%K Gaussian distribution<br>缺失数据
%K ICA
%K 相关关系
%K 高斯分布
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=DAA1E470AFD7D592&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=59906B3B2830C2C5&sid=38685BC770C663F2&eid=EF27C460877D3C9F&journal_id=1002-137X&journal_name=计算机科学&referenced_num=5&reference_num=12