Integrating Fuzzy c-Means Clustering with PostgreSQL

R. M. Miniakhmetov
<span title="">2018</span> <i title="Ivannikov Institute for System Programming of the Russian Academy of Sciences"> <a target="_blank" rel="noopener" href="" style="color: black;">Proceedings of the Institute for System Programming of RAS</a> </i> &nbsp;
Many data sets to be clustered are stored in relational databases. Having a clusterization algorithm implemented in SQL provides easier clusterization inside a relational DBMS than outside with some alternative tools. In this paper we propose Fuzzy c-Means clustering algorithm adapted for PostgreSQL open-source relational DBMS.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="">doaj:441e350ae227495dbfbdf11c5e10f577</a> <a target="_blank" rel="external noopener" href="">fatcat:nkr55y7gg5a6vafrsgwbdfm2ai</a> </span>
<a target="_blank" rel="noopener" href="" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>