“Draft:Redundancy Analysis”的意思、由来-开放百科全书

词条

Draft:Redundancy Analysis

释义

References

{{AFC submission|d|context|u=Attilauva|ns=118|decliner=AngusWOOF|declinets=20190217210635|ts=20190217184122}} {{AFC comment|1=See Multivariate statistics as one of the topics listed there. AngusWOOF (bark • sniff) 21:08, 17 February 2019 (UTC)}}{{AFC comment|1=Not clear how this is Wikipedia notable. Need more sources. AngusWOOF (bark • sniff) 21:06, 17 February 2019 (UTC)}}

Redundancy analysis (RDA) allows the user to derive a specified number of synthetic variables from one set of (explanatory) variables that explain as much variance as possible in another (response) set. It is a multivariate analogue of regression.

If we have a set of explanatory variables and a set of response variables , and there are correlations among the variables, then RDA will find linear combinations of the X variables which have maximum correlation with all the Y variables.^[1]

References

1. ^{{cite journal |last1=Csala |first1=Attila |last2=Voorbraak |first2=Frans P J M |last3=Zwinderman |first3=Aeilko H |last4=Hof |first4=Michel H |last5=Bar-Joseph |first5=Ziv |title=Sparse redundancy analysis of high-dimensional genetic and genomic data |journal=Bioinformatics |date=15 October 2017 |volume=33 |issue=20 |pages=3228–3234 |doi=10.1093/bioinformatics/btx374}}

随便看

开放百科全书收录14589846条英语、德语、日语等多语种百科知识，基本涵盖了大多数领域的百科知识，是一部内容自由、开放的电子版国际百科全书。