Asymmetric proximity matrices: Proximity matrices in which the non-diagonal elements, in the ith row and jth column and the jth row and ith column, are not essentially equal. Examples are given by the number of marriages among men of one nationality and women of another, immigration statistics and the number of the citations of one journal by another.

Multidimensional scaling methods or techniques for such matrices generally rely on their canonical decom-position into the sum of a symmetric matrix and a skew symmetric matrix.

 

Posted Date: 7/26/2012 4:32:52 AM | Location : United States

Ask an Expert

Related Discussions:- Asymmetric proximity matrices, Assignment Help, Ask Question on Asymmetric proximity matrices, Get Answer, Expert's Help, Asymmetric proximity matrices Discussions

Write discussion on Asymmetric proximity matrices
Your posts are moderated

Write your message here..

Related Questions

Explain interim analyses, Interim analyses : An analysis made before the pl... Interim analyses : An analysis made before the planned end of a clinical trial, typically with the aim of detecting the treatment differences at the early stage and thus preventing

Paired availability design, Paired availability design  is a design which c... Paired availability design  is a design which can lessen selection bias in the situations where it is not possible to use random allocation of the subjects to treatments. The desig

Variance inflation factor, VIF is the abbreviation of variance inflation fa... VIF is the abbreviation of variance inflation factor which is a measure of the amount of multicollinearity that exists in a set of multiple regression variables. *The VIF value

Ecme algorithm, The Expectation/Conditional Maximization Either algorithm w... The Expectation/Conditional Maximization Either algorithm which is the generalization of ECM algorithm attained by replacing some of the CM-steps of ECM which maximize the constrai

Computer-intensive methods, Computer-intensive methods : The statistical me... Computer-intensive methods : The statistical methods which require almost identical computations on the data repeated number of times. The term computer intensive is, certainly, a

Frequency distribution, The division of a sample of observations into sever... The division of a sample of observations into several classes, together with the number of observations in each of them.  It acts as a useful summary of the main features of the da

Cube law, A law supposedly applicable to voting behaviour which has a histo... A law supposedly applicable to voting behaviour which has a history of several decades. It may be stated thus: Consider a two-party system and suppose that the representatives of t

What is harris and stevens forecasting, Harris and Stevens forecasting is ... Harris and Stevens forecasting is the method of making short term forecasts in the time series which is subject to abrupt changes in pattern and the transient effects. Instances o

Construct the de bruijn digraph, A directed graph is simple if each ordered... A directed graph is simple if each ordered pair of vertices is the head and tail of at most one edge; one loop may be present at each vertex. For each n ≥ 1, prove or disprove the

Wilcoxon''s ranksum test, Wilcoxon's ranksum test is the distribution free... Wilcoxon's ranksum test is the distribution free method or technique used as an alternative to the Student's t-test for assessing whether two populations have the same location. G