A white paper on good research practices in benchmarking: The case of cluster analysis

I Van Mechelen, AL Boulesteix, R Dangl… - … : Data Mining and …, 2023 - Wiley Online Library
To achieve scientific progress in terms of building a cumulative body of knowledge, careful
attention to benchmarking is of the utmost importance, requiring that proposals of new …

K-means and alternative clustering methods in modern power systems

SM Miraftabzadeh, CG Colombo, M Longo… - IEEE …, 2023 - ieeexplore.ieee.org
As power systems evolve by integrating renewable energy sources, distributed generation,
and electric vehicles, the complexity of managing these systems increases. With the …

Social and moral psychology of COVID-19 across 69 countries

F Azevedo, T Pavlović, GG Rêgo, FC Ay, B Gjoneska… - Scientific data, 2023 - nature.com
The COVID-19 pandemic has affected all domains of human life, including the economic
and social fabric of societies. One of the central strategies for managing public health …

Heavy metal contamination and its ecological risks in the beach sediments along the Atlantic Ocean (Limbe coastal fringes, Cameroon)

AZ Ekoa Bessa, G Ngueutchoua… - Earth Systems and …, 2021 - Springer
Beach sediments collected along Atlantic Ocean of Cameroon were geochemically
analysed using ICP–MS techniques to determine their contamination of heavy metal and …

[HTML][HTML] Application of cluster analysis to identify different reader groups through their engagement with a digital reading supplement

Y Ma, K Cain, A Ushakova - Computers & Education, 2024 - Elsevier
The focus of this study is the identification of reader profiles that differ in performance and
progression in an educational literacy app. A total of 19,830 students in Grade 2 from 347 …

[HTML][HTML] Commercializing circular economy innovations: A taxonomy of academic spin-offs

PH Evertsen, E Rasmussen, O Nenadic - Technological Forecasting and …, 2022 - Elsevier
Innovation and the commercialization of new technologies are seen as important drivers of
the transition to a more sustainable development. An actionable strategy to achieve such a …

[HTML][HTML] Towards disaster risk mitigation on large-scale school intervention programs

R Fernandez, JF Correal, D D'Ayala… - International journal of …, 2023 - Elsevier
Education infrastructure is one of the main barriers on school quality in Low-and Middle-
Income Countries (L&MICs), since it is insufficient and unevenly distributed. Improving the …

An efficient entropy based dissimilarity measure to cluster categorical data

AK Kar, AC Mishra, SK Mohanty - Engineering Applications of Artificial …, 2023 - Elsevier
Clustering is an unsupervised learning technique that discovers intrinsic groups based on
proximity between data points. Therefore, the performance of clustering techniques mainly …

Judging a socially assistive robot by its cover: the effect of body structure, outline, and color on users' perception

E Liberman-Pincu, Y Parmet, T Oron-Gilad - ACM Transactions on …, 2023 - dl.acm.org
Socially assistive robots (SARs) aim to provide assistance through social interaction.
Previous studies contributed to understanding users' perceptions and preferences regarding …

Development of an influencer-brand congruence and complementarity measurement framework for recommender systems

P Weinlich, T Semerádová - Cogent Business & Management, 2024 - Taylor & Francis
Currently, there is a growing interest in identifying the prerequisites of a successful
influencer brand collaboration and for brands to determine the most appropriate matches …