<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-95FQNDDH</identifier><date>2025</date><creator>Wang, Dandan</creator><relation>documents/doc/9/URN_NBN_SI_doc-95FQNDDH_001.pdf</relation><relation>documents/doc/9/URN_NBN_SI_doc-95FQNDDH_001.txt</relation><format format_type="volume">49</format><format format_type="issue">6</format><format format_type="type">article</format><format format_type="extent">str. 103-115</format><identifier identifier_type="DOI">10.31449/inf.v49i6.7215</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">235689475</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-95FQNDDH</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">algoritem K-means</subject><subject language_type_id="slv">logistika</subject><subject language_type_id="slv">model U-YOLOv3</subject><subject language_type_id="slv">optimiranje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Application of improved binary K-means algorithm in time and cost optimization for regional logistics distribution center location</title></Record>