Su una modifica dell’indice di corrispondenza semplice utilizzato nelle analisi multidimensionali di dati qualitativi
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In multidimensional analysis for qualitative data a similarity and/or dissimilarity matrix is commonly used. When the analysis concerns the presence-absence of each of p attributes for pairs of objects, often the generic (i , j)-element of this matrix is the value of the simple matching coefficient S computed on the positive-negative matches and the mismatches associated with the p binary attributes for the (i, j)-objects. But there are situations in which it can be useful to adjust the classical S index in order to take into account, as well as the usual positive-negative matches, the mismatches too.
Keywords: Multivariate Analysis, Similarity, Simple Matching Coefficient. Author biographyMaurizio Carpita, Università degli Studi di Brescia, e-mail: carpita@eco.unibs.it |
