K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

AM Ikotun, AE Ezugwu, L Abualigah, B Abuhaija… - Information …, 2023 - Elsevier
Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …

AI-based modeling: techniques, applications and research issues towards automation, intelligent and smart systems

IH Sarker - SN Computer Science, 2022 - Springer
Artificial intelligence (AI) is a leading technology of the current age of the Fourth Industrial
Revolution (Industry 4.0 or 4IR), with the capability of incorporating human behavior and …

[HTML][HTML] Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study

RA Evans, HJC McAuley, EM Harrison… - The Lancet …, 2021 - thelancet.com
Background The impact of COVID-19 on physical and mental health and employment after
hospitalisation with acute disease is not well understood. The aim of this study was to …

Machine learning: Algorithms, real-world applications and research directions

IH Sarker - SN computer science, 2021 - Springer
In the current age of the Fourth Industrial Revolution (4 IR or Industry 4.0), the digital world
has a wealth of data, such as Internet of Things (IoT) data, cybersecurity data, mobile data …

The k-means Algorithm: A Comprehensive Survey and Performance Evaluation

M Ahmed, R Seraj, SMS Islam - Electronics, 2020 - mdpi.com
The k-means clustering algorithm is considered one of the most powerful and popular data
mining algorithms in the research community. However, despite its popularity, the algorithm …

Data science and analytics: an overview from data-driven smart computing, decision-making and applications perspective

IH Sarker - SN Computer Science, 2021 - Springer
The digital world has a wealth of data, such as internet of things (IoT) data, business data,
health data, mobile data, urban data, security data, and many more, in the current age of the …

Unsupervised learning methods for molecular simulation data

A Glielmo, BE Husic, A Rodriguez, C Clementi… - Chemical …, 2021 - ACS Publications
Unsupervised learning is becoming an essential tool to analyze the increasingly large
amounts of data produced by atomistic and molecular simulations, in material science, solid …

Ai-driven cybersecurity: an overview, security intelligence modeling and research directions

IH Sarker, MH Furhad, R Nowrozy - SN Computer Science, 2021 - Springer
Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (or
Industry 4.0), which can be used for the protection of Internet-connected systems from cyber …

[HTML][HTML] Mining the text of online consumer reviews to analyze brand image and brand positioning

M Alzate, M Arce-Urriza, J Cebollada - Journal of Retailing and Consumer …, 2022 - Elsevier
The growth of the Internet has led to massive availability of online consumer reviews. So far,
papers studying online reviews have mainly analysed how non-textual features, such as …

Unsupervised K-means clustering algorithm

KP Sinaga, MS Yang - IEEE access, 2020 - ieeexplore.ieee.org
The k-means algorithm is generally the most known and used clustering method. There are
various extensions of k-means to be proposed in the literature. Although it is an …