USE OF CLUSTER ANALYSIS FOR THE CLASSIFICATION OF PERFUMES AND COSMETICS, WHICH ARE PHARMACY ASSORTMENT PRODUCTS

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DOI: https://doi.org/10.29296/25419218-2019-03-06
Issue: 
3
Year: 
2019

A.I. Fitisova; I.A. Narkevich, O.D. Nemyatykh, S.Z. UmarovSaint Petersburg State Chemopharmaceutical University, 14, Prof. Popov St., Saint Petersburg 197376, Russian Federation

Introduction. Structuring the wide list of the positions of perfumes and cosmetics, which are represented on the pharmaceutical market, greatly simplifies work with this category of pharmacy goods at all stages of their distribution. Today’s approaches do not fully take into account the specificity of this product group, which are mainly based on the demographic characteristics of a consumer, and also divide the assortment in accordance with the finished product output forms.Objective: to determine the possibilities of a cluster analysis in the classification of perfumes and cosmetics as pharmacy assortment products. Material and methods. For formation of a database, the investigators used the electronic price lists of national and regional firms supplying pharmacy products as of July 2018. The information array was formed according to the parameters characterizing the consumer properties of perfume and cosmetics. Statistical data were processed by the cluster analysis procedure using the one-way communication and Euclidean distance method, as well as the Statistica 10.0 software package.Results. Assessment of a dendrogram with the given consumer characteristics could identify and describe 2 cluster groups with the Euclidean distance of 1.57 in the segment of perfumes and cosmetics. The greatest contribution to the formation of clusters was made by the qualitative characteristics of a product (the availability of confirmed data on its biological activity; the need/absence of a doctor’s recommendation; the need/lack of a pharmacist’s consultation during vacations). Using indicators of descriptive statistics of the formed clusters, the investigators provide a rationale for the prospects for further investigations in terms of supplementing the list of approaches in the classification of perfumes and cosmetics.Conclusion. The use of cluster methods for the analysis of perfumes and cosmetics can identify patterns and justify possible criteria for the classification of pharmacy products.
Keywords: 
perfumes and cosmetics
classification
cluster analysis
References: 
  1. Pharmaceutical market of Russia. Results of 2017: analyti-cal report. Moscow: ZAO Gruppa «DSM», 2018; 110. (in Russian).
  2. Nemyatykh O.D., Fitisova A.I.. Assessment of key aspects of national pharmaceutical market in the segment of pharmaceu-tical cosmetics. Nauchnie vedomosti Belgorod.GU., 2017; 1: 123–8 (in Russian).
  3. GOST 31678-2012. Liquid perfumes products. General specifications. [Electronic resource]. Access mode: http://www.consultant.ru (in Russian).
  4. GOST 31696-2012. Cosmetic hygienic washing products. General specifications. Access mode: http://www.consultant.ru (in Russian).
  5. GOST 31698-2013. Powdered and compact cosmetic products. General specifications. [Electronic resource]. Access mode: http://www.consultant.ru (in Russian).
  6. GOST 32853-2014. Perfumes solid and dry. General spec-ifications. [Electronic resource]. Access mode: http://www.con-sultant.ru (in Russian)
  7. Grigor’ev, S.G., Ivanov V.V., Mizerene R.V. et al. Multidimensional mathematical-statistical models of classifica-tion in medicine. SPb., 2005; 142. (in Russian).
  8. Lobuteva A.V., Zakharova O.V., Krivocheev S.A., Lobuteva L.A., Grebneva D.E. Cluster analysis of pharmacotherapy costs in cataract patients in specialized hospital units. Vestnik VGU. Seriya: Khimiya. Biologiya. Farmatsiya, 2015; 3: 116–9 (in Russian).
  9. Gudilina N.A., Ivanova E.S., Sibiryakov A.V. et al. The use of cluster analysis at the development of approaches on selection and administration of treatment to HIV-infected patients. Byulleten’ sibirskoy meditsiny, 2017; 16 (3): 52–60. https://doi.org/10.20538/1682-0363-2017-3-52–60 (in Russian).
  10. Plokhikh I.V. Optimization of providing the population for parapharmaceutical goods at the regional level (for example oral and teeth hygiene). Author’s abstract. Dis. Cand. Pharm. Science. Moscow, 2016; 23 (in Russian).
  11. Zubov N.N., Kuvakin V.I. Methods of statistical analysis of data in medicine and pharmacy. SPb.: 2017; 216 (in Russian).