Abiodun M. Ikotun

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

Abiodun M. Ikotun, Absalom E. Ezugwu, Laith Abualigah et al. · Information Sciences · 2022 · 1.8K citations

Evolutionary Data Mining, Cluster Computing, Document Clustering +12

A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects

Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide O. Oyelade et al. · Engineering Applications of Artificial Intelligence · 2022 · 821 citations

Cluster Computing, Data Classification, Document Clustering +14

K-Means-Based Nature-Inspired Metaheuristic Algorithms for Automatic Data Clustering Problems: Recent Advances and Future Directions

Abiodun M. Ikotun, Mubarak Almutari, Absalom E. Ezugwu · Applied Sciences · 2021 · 83 citations · Full text

Cluster Computing, Engineering, Automatic Clustering +16

Boosting k-means clustering with symbiotic organisms search for automatic clustering problems

Abiodun M. Ikotun, Absalom E. Ezugwu · PLoS ONE · 2022 · 39 citations · Full text

Cluster Computing, Engineering, Automatic Clustering Problems +17

A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data

Tehnan I. A. Mohamed, Absalom E. Ezugwu, Jean Vincent Fonou-Dombeu et al. · Scientific Reports · 2023 · 36 citations · Full text