Showing 1 - 5 results of 5 for search 'Abiodun M. Ikotun', query time: 0.02s Refine Results
  1. 1
    Enhanced Firefly-K-Means Clustering with Adaptive Mutation and Central Limit Theorem for Automatic Clustering of High-Dimensional Datasets

    Enhanced Firefly-K-Means Clustering with Adaptive Mutation and Central Limit Theorem for Automatic Clustering of High-Dimensional Datasets by Abiodun M. Ikotun, Absalom E. Ezugwu

    Published 2022-11-01
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  2. 2
    Boosting k-means clustering with symbiotic organisms search for automatic clustering problems.

    Boosting k-means clustering with symbiotic organisms search for automatic clustering problems. by Abiodun M Ikotun, Absalom E Ezugwu

    Published 2022-01-01
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  3. 3
    Improved SOSK-Means Automatic Clustering Algorithm with a Three-Part Mutualism Phase and Random Weighted Reflection Coefficient for High-Dimensional Datasets

    Improved SOSK-Means Automatic Clustering Algorithm with a Three-Part Mutualism Phase and Random Weighted Reflection Coefficient for High-Dimensional Datasets by Abiodun M. Ikotun, Absalom E. Ezugwu

    Published 2022-12-01
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  4. 4
    K-Means-Based Nature-Inspired Metaheuristic Algorithms for Automatic Data Clustering Problems: Recent Advances and Future Directions

    K-Means-Based Nature-Inspired Metaheuristic Algorithms for Automatic Data Clustering Problems: Recent Advances and Future Directions by Abiodun M. Ikotun, Mubarak S. Almutari, Absalom E. Ezugwu

    Published 2021-11-01
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  5. 5
    A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data

    A bio-inspired convolution neural network architecture for automatic breast cancer detection and classification using RNA-Seq gene expression data by Tehnan I. A. Mohamed, Absalom E. Ezugwu, Jean Vincent Fonou-Dombeu, Abiodun M. Ikotun, Mohanad Mohammed

    Published 2023-09-01
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