Usage Analysis of Smartphone with Hierarchical Clustering

<span title="2019-12-14">2019</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/h673cvfolnhl3mnbjxkhtxdtg4" style="color: black;">International Journal of Engineering and Advanced Technology</a> </i> &nbsp;
Functional and Non Functional attributes are the important factors of the Smartphone. This paper deals with how to group the characteristics of mobile phone using the clustering algorithms and then obtained the results after classify the related algorithms. Classify all the functional and non-functional attributes of the smartphone using the latest data mining algorithms using WEKA (Waikato Environment for Knowledge Analysis) open-source software to analyze data.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijeat.a1041.1091s19">doi:10.35940/ijeat.a1041.1091s19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3m4pscpcavfzfnzjydwovpgv4y">fatcat:3m4pscpcavfzfnzjydwovpgv4y</a> </span>
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