References
- A
izerman , M. A., Braverman , E. M.and Rozonoer , L. I. (1970) The Method of Potential Functions in Machine Learning Theory [in Russian]. Nauka, Moscow. - B
ishop , R. L.and Crittenden , R. J. (1964) Geometry of Manifolds. Academic Press, NY. - B
oyd , S., Ghaoui , L., Feron , E.and Balakrishnan , V. (1994) Linear Matrix Inequalities in System and Control Theory. SIAM, Philadelphia. - C
ox , T. F.and Cox , M. A. A. (2001) Multidimensional Scaling. Chapman & Hall/CRC. - D
voenko , S. D. (2009) Clustering and separating of a set of members in terms of mutual distances and similarities. Trans. on MLDM. IBaI Publishing, 2(2), 80–99. - D
voenko , S. D.and Pshenichny , D. O. (2018) On metric correction and conditionality of raw featureless data in machine learning. Pattern Recognit. Image Anal. 28, 595–604. https://doi.org/10.1134/S1054661818040089 - D
voenko , S. D.and Pshenichny , D. O. (2021) Rank aggregation based on new types of the Kemeny’s Median. Pattern Recognit. Image Anal. 31, 185–196. https://doi.org/10.1134/S1054661821020061 - D
voenko , S. (2022) Clustering of data represented by pairwise comparisons. Control and Cybernetics. 51(3) 343–387. https://doi.org/10.2478/candc-2022-0021 - D
uda R. O.and Hart P. E. (1973) Pattern Classification and Scene Analysis. Wiley, NY. - F
isher , R. A. (1936) The use of multiple measurements in taxonomic problems. Annals of Eugenics. 7, 179–188. - G
azprom (2000) http://www.bastion.ru/research/am/economy/ - H
arman , H. H. (1976) Modern Factor Analysis. Univ. of Chicago Press, Chicago. - H
orn , R.and Johnson , C. (1990) Matrix Analysis. Cambridge University Press. - K
alyaev , I. A., Levin , I. I., Semernikov , E. A.and Shmoilov , V. I. (2012) Reconfigurable Multipipeline Computing Structures. Nova Science Publishers, Inc. USA. - K
emeny , J.and Snell , J. (1963) Mathematical Models in the Social Sciences. Blaisdell, New York. - K
ozinets , B. N. (1973) A recurrent algorithm for separating convex hulls of two sets. Pattern recognition learning algorithms [in Russian], V. N. Vapnik, editor. Soviet Radio, Moscow, 43–50. - L
uce , R. D. (1959) Individual Choice Behavior: A Theoretical Analysis. Wiley, NY. - L
itvak , B. G. (1982) Expert Information: Methods of Acquisition and Analysis [in Russian]. Radio i Svyaz, Moscow. - M
irkin , B. G. (1974) A Group Choice Problem [in Russian]. Nauka, Moscow. - N
ebylitsyn , V. D. (1990) Selected Psychological Proceedings [in Russian]. Pedagogika, Moscow. - P
ekalska , E.and Duin , R. P. W. (2005) The Dissimilarity Representation for Pattern Recognition. Foundations and Applications. World Scientific, Singapore. - T
orgerson , W. S. (1958) Theory & Methods of Scaling. Wiley, NY. - T
ou , J. T.and Gonzalez , R. C. (1977) Pattern Recognition Principles. Addison-Wesley. - V
apnik , V. N.and Chervonenkis , A. Y. (1974) Pattern Recognition Theory [in Russian]. Nauka, Moscow. - V
apnik , V. N. (1998) Statistical Learning Theory. Adaptive and Learning Systems. Wiley, NY. - Y
oung , G.and Householder , A. S. (1938) Discussion of a set of points in terms of their mutual distances. Psychometrika. 3(1). 19–22. https://doi.org/10.1007/BF02287916 - Z
agoruiko , N. G. (1999) Applied Methods of Data and Knowledge Analysis [in Russian]. IM SBRAS, Novosibirsk.