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Classification Studies in Various Areas of Science

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Abstract

Classifications studies are performed for various kinds of objects. Several 2-dimensional classification diagrams have been created. It is shown that this kind of mathematical models can be useful in different areas of science.

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References

  1. Carbo-Dorca, R., Mezey, P.G. (eds.): Advances in Molecular Similarity, vol. 2. JAI Press, Stamford (1998)

    MATH  Google Scholar 

  2. Johnson, M., Maggiora, G.M.: Concepts and Applications of Molecular Similarity, p. 393. Wiley, New York (1990)

    Google Scholar 

  3. Gasteiger, J. (ed.): Handbook of Chemoinformatics. Wiley-VCH, Weinheim (2003)

    Google Scholar 

  4. Devillers, J., Balaban, A.T. (eds.): Topological Indices and Related Descriptors in QSAR and QSPR. Gordon and Breach Science Publishers, Amsterdam (1999)

    Google Scholar 

  5. Clark, T., Byler, K.G., de Groot, M.J.: Molecular interactions - bringing chemistry to life. In: Proceedings of the International Beilstein Workshop, Bozen, Italy, May 15–19, 2006, Logos Verlag, Berlin, pp. 129–146 (2008)

    Google Scholar 

  6. Clark, T., Ford, M., Essex, J., Richards, W.G., Ritchie, D.W.: QSAR and molecular modelling in rational design of bioactive molecules. In: Proceedings of EuroQSAR, ed. by E. Aki, I. Yalcin, CADDDS in Turkey, Ankara, pp. 536–537 (2006)

    Google Scholar 

  7. Jakobi, A.-J., Mauser, H., Clark, T.: ParaFrag - an approach for surface-based similarity comparison of molecular fragments. J. Mol. Model. 14, 547–558 (2008)

    Article  Google Scholar 

  8. Kramer, C., Beck, B., Clark, T.: Insolubility classification with accurate prediction probabilities using a MetaClassifier. J. Chem. Inf. Model. 50, 404–414 (2010)

    Article  Google Scholar 

  9. Huang, H.-C., Qin, L.-X.: Empirical evaluation of data normalization methods for molecular classification. PerrJ 6, e4584 (2018)

    Article  Google Scholar 

  10. Jayalakshmi, R., Natarajan, R., Vivekanandan, M.: Extension of molecular similarity analysis approach to classification of DNA sequences using DNA descriptors. SAR and QSAR Environ. Res. 22, 21–34 (2011)

    Article  Google Scholar 

  11. Bielińska-Wa̧ż, D., Nowak, W., Pepłowski, Ł., Wa̧ż, P., Basak, S.C., Natarajan, R.: Statistical spectroscopy as a tool for the study of molecular spectroscopy. J. Math. Chem. 43, 1560–1572 (2008)

    Google Scholar 

  12. Bielińska-Wa̧ż, D., Wa̧ż, P.: 2D-dynamic representation of DNA sequences as a graphical tool in bioinformatics. In: Todorov, M.D. (ed.) 8th International Conference on Promoting the Application of Mathematics in Technical and Natural Sciences (AMiTaNS 2016), June 22–27, 2016, Albena, Bulgaria, AIP Conference Proceedings, vol. 1773, Art. No. 060004 (2016)

    Google Scholar 

  13. Wa̧ż, P., Bielińska-Wa̧ż, D.: Asymmetry coefficients as indicators of chaos. Acta Phys. Pol. A 116, 987–991 (2009)

    Article  Google Scholar 

  14. Wa̧ż, P., Bielińska-Wa̧ż, D., Strobel, A., Pleskacz, A.: Statistical indicators of astrophysical parameters. Acta Astron. 60, 283–293 (2010)

    Google Scholar 

  15. Bielińska, A., Majkowicz, M., Wa̧ż, P., Bielińska-Wa̧ż, D.: Overall quality of life and general health - changes related to the retirement threshold. In: Murata, Y. et al. (eds.) eTELEMED 2018 The Tenth International Conference on eHealth, Telemedicine, and Social Medicine, March 25–29, 2018, Rome, Italy, pp. 1–5. XPS IARIA Press, Rome (2018)

    Google Scholar 

  16. Bielińska, A., Majkowicz, M., Wa̧ż, P., Bielińska-Wa̧ż, D.: Influence of the education level on health of elderly people. In: Murata, Y., et al. (eds.) eTELEMED 2018 The Tenth International Conference on eHealth, Telemedicine, and Social Medicine, March 25–29, 2018, Rome, Italy, pp. 6–11. XPS IARIA Press, Rome (2018)

    Google Scholar 

  17. Bielińska-Wa̧ż, D., Nowak, W., Wa̧ż, P., Nandy, A., Clark, T.: Distribution moments of 2D-graphs as descriptors of DNA sequences. Chem. Phys. Lett. 443, 408–413 (2007)

    Article  Google Scholar 

  18. Altschul, S.F., Gish, W., Miller, W., Myers, E.W., Lipman, D.J.: Basic local alignment search tool. J. Mol. Biol. 215, 403–410 (1990)

    Article  Google Scholar 

  19. Chenna, R., et al.: Multiple sequence alignment with the clustal series of programs. Nucleic Acids Res. 31, 3497–3500 (2003)

    Article  Google Scholar 

  20. Wa̧ż, P., Bielińska-Wa̧ż, D.: Non-standard similarity/dissimilarity analysis of DNA sequences. Genomics 104, 464–471 (2014)

    Article  Google Scholar 

  21. Hirschfeld, H.O.: A connection between correlation and contingency. Proc. Cambridge Philos. Soc. 31, 520–524 (1935)

    Article  Google Scholar 

  22. Benzécri, J.-P.: L’Analyse des Données. L’Analyse des Correspondances, Paris, France, Dunod, vol. II (1973)

    Google Scholar 

  23. Greenacre, M.: Correspondence Analysis in Practice, 2nd edn. Chapman & Hall/CRC, London (2007)

    Book  Google Scholar 

  24. http://www.who.int/substance_abuse/research_tools/whoqolbref/en/

  25. Wołowicka, L.: Quality of Life in Medical Sciences, pp. 231–281. Wydawnictwo Uczelniane AM w Poznaniu, Poznań (2001)

    Google Scholar 

  26. Parr, R., Yang, W.: Density-Functional Theory of Atoms and Molecules. Oxford University Press, Oxford (1989)

    Google Scholar 

  27. Bielińska-Wa̧ż, D.: Statistical method of generating envelopes of the electronic hot bands. Int. J. Quant. Chem. 115, 1726–1732 (2015)

    Google Scholar 

  28. Bielińska-Wa̧ż, D., Wa̧ż, P.: Correlations in spectral statistics. J. Math. Chem. 43, 1287–1300 (2008)

    Article  MathSciNet  Google Scholar 

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Correspondence to Dorota Bielińska-Wa̧ż .

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Bielińska, A., Majkowicz, M., Bielińska-Wa̧ż, D., Wa̧ż, P. (2019). Classification Studies in Various Areas of Science. In: Nikolov, G., Kolkovska, N., Georgiev, K. (eds) Numerical Methods and Applications. NMA 2018. Lecture Notes in Computer Science(), vol 11189. Springer, Cham. https://doi.org/10.1007/978-3-030-10692-8_36

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  • DOI: https://doi.org/10.1007/978-3-030-10692-8_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-10691-1

  • Online ISBN: 978-3-030-10692-8

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