The COVID-19 pandemic, which first spread to the People of Republic of China and then to
other countries in a short time, affected the whole world by infecting millions of people and …

Purpose The ongoing paradigm shift in the energy sector holds paramount implications for
the realization of the sustainable development goals, encompassing critical domains such …

Effective management of customer's knowledge leads to efficient Customer Relationship
Management (CRM). To accurately predict customer's behaviour, clustering, especially K …

The development and successful implementation of R&D policies depends on
understanding patterns of scientific collaboration (SC). Existing studies on SC typically focus …

The COVID-19 outbreak, first reported in Wuhan, China, spread rapidly and endangered
human lives and livelihoods globally. Researchers have utilized available tools and facilities …

Penelitian ini menerapkan K-Means dan metode Moora berbasis web sebagai alat bantu
dan rekomendasi untuk pengelompokan data penerima dana Bantuan Stimulan Perumahan …

This research discusses the detection of embryonic eggs using the k-means clustering
method based on statistical feature extraction. The processes that occur in detection are …

Blockmodeling refers to a variety of statistical methods for reducing and simplifying large
and complex networks. While methods for blockmodeling networks observed at one time …

Blockmodeling linked networks aims to simultaneously cluster two or more sets of units into
clusters based on a network where ties are possible both between units from the same set …

This article proposes a network-analytical framework for the comparative study of national
production structures in global production networks. Conceptualizing such structures as the …