Applied Multivariate Analysis in SAR and Environmental by Brigitte Escofier, Jérôme Pagès (auth.), J. Devillers, W.

By Brigitte Escofier, Jérôme Pagès (auth.), J. Devillers, W. Karcher (eds.)

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This problem is solved in MFA by the weighting of variables. All the variables of group 1 are given the weight: . 62) ; the weight of each variable of group 2 is : . 55). 44 4. The main factors of variability In this section, MFA may be considered as a PCA in which variables are weighted as above. MFA is applied to the whole set of variables but the only two first group are active. 1. THE EIGENVALVES AND THE CONTRIBUTIONS TO INERTIA The sequence of eigenvalues and some elements about their decomposition are given in Table 4.

In order to illustrate the scope of the method, the example is not a simple numerical application but a real case whose context and aims are detailed. The computations have been performed by LADDAD software (LADDAD 1989). The second part includes technical and theoritical aspects of MFA. In order to make the reading easier, geometric interpretations are used as much as possible. The reading of this chapter requires a good knowledge of Principal Components Analysis and, for the last section, some ideas about Multiple Correspondence Analysis.

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