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difference means » difference mass (Expand Search), difference may (Expand Search), difference tests (Expand Search)
means algorithm » search algorithm (Expand Search)
difference means » difference mass (Expand Search), difference may (Expand Search), difference tests (Expand Search)
means algorithm » search algorithm (Expand Search)
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Comparison of average precision means of different algorithms.
Published 2025“…<p>Comparison of average precision means of different algorithms.</p>…”
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RMSE value filled by different algorithms (mean ± std).
Published 2024“…<p>RMSE value filled by different algorithms (mean ± std).</p>…”
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Experimental results of different parameters k in K-Means algorithm for repeatability.
Published 2025“…<p>Experimental results of different parameters k in K-Means algorithm for repeatability.…”
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Experimental results of different parameters k in K-Means algorithm for reliability.
Published 2025“…<p>Experimental results of different parameters k in K-Means algorithm for reliability.…”
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K-means++ clustering algorithm.
Published 2025“…Compared with MDA-RF, the prediction accuracy of the improved RF built on the same subset increased by 1.7%, indicating that improving the bootstrap sampling of random forest by using the K-means++ clustering algorithm can enhance model accuracy to some extent. …”
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K-means clustering method based on PCA algorithm.
Published 2025“…Nineteen real driving cycles were generated using widely employed K-means and PCA algorithms. The vehicles were simulated on MATLAB/Simulink according to their specifications. …”
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RMSE value of missing data filling algorithms on different datasets (mean ± std).
Published 2024“…<p>RMSE value of missing data filling algorithms on different datasets (mean ± std).</p>…”
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RMSE value of missing data filling algorithms on different datasets (mean ± std).
Published 2024“…<p>RMSE value of missing data filling algorithms on different datasets (mean ± std).</p>…”
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Mean values of different benchmark functions.
Published 2025“…Proposed parent-centric real-coded crossover operators increase the precision and robustness of GAs, which is confirmed by empirical results on testing constrained and un-constrained benchmark functions having different complexity levels. MGGX parent-centric real-coded crossover operator performs best in 20 out of 36 mean values cases and achieves the lowest standard deviation values in 21 out of 36 cases. …”
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Schematic diagram of <i>K</i>-means algorithm.
Published 2025“…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”