Geodesic
Data structuring for nonnumeric objects
Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2018), pp. 16-21 Cet article a éte moissonné depuis la source Math-Net.Ru

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For clustering of the nonnumeric objects the similarity matrix of the expert judgments is used. The clustering is performed by diagonalization of similarity matrix. The variational and the heuristic diagonalization algorithms are proposed.
Keywords: nonnumeric objects, similarity matrix, cluster-analysis. 
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     author = {A. A. Dorofeyuk and I. V. Pokrovskaya and A. L. Chernyavsky},
     title = {Data structuring for nonnumeric objects},
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     pages = {16--21},
     year = {2018},
     number = {1},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2018_1_a2/}
}
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A. A. Dorofeyuk; I. V. Pokrovskaya; A. L. Chernyavsky. Data structuring for nonnumeric objects. Informacionnye tehnologii i vyčislitelnye sistemy, no. 1 (2018), pp. 16-21. http://geodesic.mathdoc.fr/item/ITVS_2018_1_a2/