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Application Of K-Means Clustering Algorithm to Identify the Best-Selling Digital Printing Services

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Bibliographic Details
Published in:Indonesian Journal of Data and Science
Format: Online Article RSS Article
Published: 2025
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FRELIP Feed Integration
container_title Indonesian Journal of Data and Science
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:32226
institution FRELIP
journal_source_facet Indonesian Journal of Data and Science
publishDate 2025
publishDateSort 2025
record_format rss_article
spellingShingle Application Of K-Means Clustering Algorithm to Identify the Best-Selling Digital Printing Services
Data Mining
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Data Mining
Technology & Engineering — Computing
Technology & Engineering
Data Mining
Technology & Engineering — Computing
Technology & Engineering
subject_facet Data Mining
Technology & Engineering — Computing
Technology & Engineering
title Application Of K-Means Clustering Algorithm to Identify the Best-Selling Digital Printing Services
title_auth Application Of K-Means Clustering Algorithm to Identify the Best-Selling Digital Printing Services
title_full Application Of K-Means Clustering Algorithm to Identify the Best-Selling Digital Printing Services
title_fullStr Application Of K-Means Clustering Algorithm to Identify the Best-Selling Digital Printing Services
title_full_unstemmed Application Of K-Means Clustering Algorithm to Identify the Best-Selling Digital Printing Services
title_short Application Of K-Means Clustering Algorithm to Identify the Best-Selling Digital Printing Services
title_sort application of k-means clustering algorithm to identify the best-selling digital printing services
topic Data Mining
Technology & Engineering — Computing
Technology & Engineering
url https://jurnal.yoctobrain.org/index.php/ijodas/article/view/316