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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xml:lang="en">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>π-Economy</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>π-Economy</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2782-6015</issn>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">4</article-id>
      <title-group>
        <article-title>Regions clustering on social and economic development level on the basis of self −organizing kohonen maps</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Кластеризация  регионов  по  уровню  социально-экономического развития на основе самоорганизующихся карт Кохонена</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Gordopolov</surname>
            <given-names>Jury</given-names>
          </name>
          <email>Gordopolov@yandex.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Lukashevich</surname>
            <given-names>Nikita</given-names>
          </name>
          <email>lukashevich@kafedrapik.ru</email>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2010-06-10">
        <day>10</day>
        <month>06</month>
        <year>2010</year>
      </pub-date>
      <issue>3</issue>
      <issue-id pub-id-type="publisher-id">99</issue-id>
      <fpage>27</fpage>
      <lpage>33</lpage>
      <abstract xml:lang="en">
        <p>The article is devoted to application of self - organizing Kohonen maps in a solution of regions clustering problem. Social and economic indicators are offered as criteria of clustering. On the basis of factor analysis the generalized criteria are formed. Cluster profiles are received. Social and economic cluster interpretation is given.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>REGIONS</kwd>
        <kwd>CLUSTERING</kwd>
        <kwd>NEURAL NETWORK</kwd>
        <kwd>SELF – ORGANIZING KOHONEN MAPS</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
