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

By A. M. Ikotun, Ezugwu E. Absalom, Laith Mohammad Abualigah, Belal Abuhaija, H. Jia. Information Sciences, 2022

2,020 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems

View Paper: https://www.semanticscholar.org/paper/cac6de6637ecbd85c9fe95bbce341603d98cd5a7

Citations in the corpus

• Mapping Scientific Knowledge in Systematic Literature Reviews Through Embeddings and Bibliometric Techniques (2026, unknown): “The k-means algorithm is favored for its efficiency and scalability, with variants such as the k-means ++ initialization strategy and big-data advances that support its ongoing relevance [40].”