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By J.R. Ringrose

ISBN-10: 0442069561

ISBN-13: 9780442069568

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Lj 3 Hence, the pairs between the estimated residual. of same the obtained by excluding observations For this purpose, we calculate . . )} . n The difference nj value and z . is taken as a predictive the predictive sum of squares (PSS) is obtained by summation of the squared values of n predictive residuals. as We choose the value h the optimal one. respect to the Z ^. For the first example, the PSSs with component 3 which minimizes the PSS are plotted in Fig. 1 against From it, we see that the optimal value for h Fig.

IV. SYNTHETIC RELATIONSHIP METHOD The with first graphical several sets variables, is kind natural methods, briefly described here, deals descriptions of keeping to of variables. in mind in E of relationships between For example, for two sets of the results of section III, it want to see simultaneously the projections of 46 Recent Developments in Clustering and Data Analysis Px[Ny] and Nx onto the principal method, parametrized general method for concerned classical canonical for This describing associations.

In this case N f represents a type with the same profil than the average profile. Interpretation of Some Data Analysis Methods 29 D. Selection of Explaining Variables To explain a classification means to give a meaning of subdi­ visions into classes in terms of percentage of explaining va­ riables j of J. Variables are selected such that their con­ tributions to the deviation from the center and/or the devia­ tion into two classes are high. It is necessary to determine a threshold this is only made for relevant nodes or subdivi­ sions N or N .

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Compact non-self-adjoint operators by J.R. Ringrose

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