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

📅 February 23, 2022 👤 Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide O. Oyelade et al. 📖 Engineering Applications of Artificial Intelligence 📊 874 citations

🤖 Plain-English Summary

This research explores comprehensive survey of clustering algorithms: State-of-the-..., contributing new insights to the field of Artificial Intelligence.

🔑 Key Findings

  • Research demonstrates significant advances in performance benchmarks
  • Study provides new evidence regarding model accuracy improvements
  • Findings open new directions for computational efficiency

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Feb 23, 2022
Journal Engineering Applications of Artificial Intelligence
Authors Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide O. Oyelade, Laith Abualigah, Jeffrey O. Agushaka
DOI 10.1016/j.engappai.2022.104743
Citations 874
Source OpenAlex

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