Han J., Pei J., Kamber M., Data Mining:\nConcepts and Techniques \/\/Elsevier, New York, 2011.-P1-740.<\/li>

Kaufman L., Rousseeuw P. J Finding Groups in Data, An introducrion\nto Cluster Analysis \/\/ John Wiley & Sons, Brussels, Belgium, 1990.\n-P.1-355.<\/li>

Khan S., Rahman S.M. M., Tanim \nM. F. , Ahmed F. Factors influencing K means algorithm \/\/ Int. J.\nComputational Systems Engineering,2013 .- Vol. 1. -No. 4.-P 217-228.<\/li>

Chuang K. ,Tzeng H., Chen SH., Wu J. ,Chen T.\nFuzzy c-means clustering with spatial information for image segmentation \/\/\nComputerized Medical Imaging and Graphics 30 ,2006. -P. 9\u201315.<\/li>

Kaur P., Aggrwal S. Comparative Study of Clustering Techniques \/\/\ninternational journal for advance research in engineering and technology,\n2013.-P.1-4.<\/li>

Huang Z. Extensions to the k-means algorithm for clustering large\ndata sets with categorical \nvalues, 1998. -P.283\u2013304.<\/li>

Guha S., Rastogi R., Shim K. CURE: An Efficient Clustering\nAlgorithm for Large data base \n1998. – P. 1-12.<\/li>

. Databases, In Proc. ACM-SIGMOD lnt. Conference on Management of\nData, 1998. -P.85-93.<\/li>

Yang J., Muntz R. STING: A statistical information grid approach to\nspatial data mining \/\/ Proc. 23rd Int. conf. on very large data bases. Morgan\nKaufmann, 1997.-P.186-195.<\/li>

Ester M. Kriegel H.-P., Xu X. Knowledge Discovery in Large Spatial\nDatabases: Focusing Techniques for efficient Class Identification \/\/ Proc. 4th\nInt. Symp. on large Spatial Databases, Portland, 1995. -Vol. 951.-P. 67-82.<\/li>

Ester M., et al.A density-based algorithm for discovering clusters\nin large spatial databases with noise \/\/ in Kdd, 1996. -P. 226-231.<\/li>

Ku\u017celewska U. Clustering\nAlgorithms in Hybrid Recommender System on MovieLens Data \/\/STUDIES IN LOGIC,\nGRAMMAR AND RHETORIC 37 (50), 2014.-P.125-139.<\/li>

Wang W., Yang J., Muntz R. STING : A Statistical Grid Appraoch to\nSpatial Data Mining \/\/ Department of Computer Science, University of\nCalifornia, Los Angels,1997.-P.186-195.<\/li>

Xu X., Ester M., Kriegal H.,\nSabder J.A Distribution Based Clustering Algorithm for Mining in Large Spatial\nDatabases, 1998.-P.1-8.<\/li>

Agrawal R., Gehrke J., Gunopulos D., Raghavan P. Automatic Subspace\nClustering of High Dimensional Data. Data Mining and knowledge discovery \/\/Springer\nScience + Business media, Inc. Manufactured in the Netherlands, 2005.-P.5-33.<\/li>

Goil S., Nagesh H.,\nChoudhary A.MAFIA: Efficient and Scalable Clustering for very large data sets\/\/\nCenter for Parallel and distributed Computing, 1999.-P.1-20.<\/li>

Agrawal R., Gehrke J., Gunopulos D., Raghavan\nP. Automatic subspace clustering of high dimensional data for data mining\napplications \/\/ ACM SIGMOD inter- national conference on Management of data,\nJune 1998. -Vol.27. – No.2.-P.94-105. <\/li><\/ol>\n","protected":false},"excerpt":{"rendered":"
\u0423\u0414\u041a \u00a0004.9 DOI 10.24411\/2413-046\u0425-2019-16034 \u0421\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435 \u0442\u0435\u043d\u0434\u0435\u043d\u0446\u0438\u0438 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0434\u0430\u043d\u043d\u044b\u0445: \u043c\u0435\u0442\u043e\u0434 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0438\u0437\u0430\u0446\u0438\u0438 Current trends in data mining methods: clustering method \u041c\u0430\u0445\u0440\u0443\u0441\u0435 \u041d\u0430\u0441\u043c\u0430, \u0430\u0441\u043f\u0438\u0440\u0430\u043d\u0442\u043a\u0430 \u0444\u0438\u043d\u0430\u043d\u0441\u043e\u0432\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 \u043f\u0440\u0438 \u043f\u0440\u0430\u0432\u0438\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u0435 \u0420\u0424, \u0433.\u041c\u043e\u0441\u043a\u0432\u0430. Nasma Mahrouse, Postgraduate Student, Financial University under the Government of the Russian Federation, Moscow. \u0410\u043d\u043d\u043e\u0442\u0430\u0446\u0438\u044f:\u0426\u0435\u043b\u044c \u044d\u0442\u043e\u0433\u043e \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f – \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u0438\u0441\u0447\u0435\u0440\u043f\u044b\u0432\u0430\u044e\u0449\u0438\u0439 \u043e\u0431\u0437\u043e\u0440 \u0441\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043c\u0435\u0442\u043e\u0434\u043e\u0432 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0438\u0437\u0430\u0446\u0438\u0438 \u043f\u0440\u0438 […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"spay_email":"","jetpack_publicize_message":"","jetpack_is_tweetstorm":false},"categories":[145],"tags":[156],"jetpack_featured_media_url":"","jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p7IyHt-2CO","_links":{"self":[{"href":"https:\/\/qje.su\/en\/wp-json\/wp\/v2\/posts\/10094"}],"collection":[{"href":"https:\/\/qje.su\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/qje.su\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/qje.su\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/qje.su\/en\/wp-json\/wp\/v2\/comments?post=10094"}],"version-history":[{"count":1,"href":"https:\/\/qje.su\/en\/wp-json\/wp\/v2\/posts\/10094\/revisions"}],"predecessor-version":[{"id":10106,"href":"https:\/\/qje.su\/en\/wp-json\/wp\/v2\/posts\/10094\/revisions\/10106"}],"wp:attachment":[{"href":"https:\/\/qje.su\/en\/wp-json\/wp\/v2\/media?parent=10094"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/qje.su\/en\/wp-json\/wp\/v2\/categories?post=10094"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/qje.su\/en\/wp-json\/wp\/v2\/tags?post=10094"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}