A New Algorithm for Clustering Lymphocyte Typing Sera

doi:10.1111/j.1399-0039.1980.tb00207.x

A New Algorithm for Clustering Lymphocyte Typing Sera

2008-12-11

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DOI：10.1111/j.1399-0039.1980.tb00207.x

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An algorithm is presented for clustering antisera by computer. It has two novel features: the leading serum to which all other sera in the cluster are compared is chosen as the most centrally located serum in the cluster; the similarity between two sera is defined from the 2X2 table of serum reactions as s = 2a/(2a + b + c). This similarity index is abetter measure of the similarity between two sera than conventional measures of similarity such as the correlation coefficient. Finally, the identification of cluster and serum subsets provides a more complete analysis of cross‐reactivity and multispecificity, and suggests which absorptions might yield monospecific typing sera. A computer program which performs this serum cluster analysis is available upon request.

A New Algorithm for Clustering Lymphocyte Typing Sera

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