2019 were first text-mining. Then, using the clustering technique, the factors affecting the success of outsourcing were …

set of key strategic resources (SRs) of a company, represented by the uncertain recognition and the ambiguous clustering …

‐chain, strategic marketing, electronic marketing and clustering, and to suggest a conceptual framework allowing improving effectiveness …. Practical implications – The factors influencing e‐marketing and clustering approaches are highlighted and a set of …

Purpose – The purpose of this paper is to propose a Meta modeling based on regression, neural network, and clustering … by a case study. Originality/value – Here, a Meta modeling based on regression, neural network, and clustering is …

-based clustering algorithm, named contour density scanning clustering (CDSC) algorithm. Design/methodology/approach The algorithm … algorithm in comparison with other conventional clustering algorithms, including k-means , density-based spatial clustering of … applications with noise, density peaking clustering, neighborhood grid clustering, support vector clustering, random forest, core …

. Design/methodology/approach The eigenspace-based fuzzy c-means (EFCM) combines representation learning and clustering. The …

close to the real situation and had a proper estimation of user’s delay prediction. Finally, the clustering technique with …

) among developing countries in the conflict regions will be enhanced through clustering. Design/methodology/approach – The … performance working in a conflict region through clustering.  …