The algorithm of interaction of the enterprises of fuel and energy complex in implementation with the use of alternative means of payment by O V. Baikova, D. A. Kulakov

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Innovative Landslide Susceptibility Mapping Portrayed by CA-AQD and K-Means Clustering Algorithms by Mao Yimin, Li Yican, Deborah Simon Mwakapesa, Wang Genglong, Yaser Ahangari Nanehkaran, Muhammad Asim Khan, Zhang Maosheng

“…The K-means algorithm divides these groups into five susceptibility classes according to the values of landslide density in each group. …”
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Classification of Plant Species with Iris Dataset Using ANN, KNN and K-Means Algorithms by M. Hanefi Calp, Vijender Kumar Solanki

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Implementation of Parallel K-Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt by Mohammad Nishat Akhtar, Waseem Ahmed, Muhammad Rafiq Kakar, Elmi Abu Bakar, A. R. Othman, Moises Bueno

“…The results showed that the PKIP algorithm decreases the execution time up to 30% to 46% if compared with the sequential k means algorithm when implemented using multiprocessing and distributed computing. …”
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New Variable Metric Algorithm by The Mean of 2nd Order Quasi-Newton Condition by Abbas Al-Bayati, Runak Abdullah

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A fixed normalized LMF (XE-NLMF) algorithm for single stage grid interfaced solar PVSystem by Subhranshu Sekhar Puhan, Renu Sharma

“…Abstract This manuscript presents the analysis and design of a fixed normalized least mean fourth (XE-NLMF) based algorithm for a single-stage, three-phase grid-integrated solar photovoltaic (SPV) system. …”
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Load balancing method of service cluster based on mean-variance by Xiaoan BAO, Xue WEI, Lei CHEN, Guoheng HU, Na ZHANG

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Alternating minimum mean square error hybrid beamforming algorithm in mmWave MIMO system by Min SHEN, Hao XU, Yun HE, Pengguang ZHOU

“…The two-stage hybrid beamforming architecture can solve the problem of limited number of RF chains effectively.However,it is still difficult to design a hybrid beamforming algorithm with better performance.In order to achieve higher spectral efficiency,an alternating minimum mean square error (Alt-MMSE) hybrid beamforming algorithm was proposed.Firstly,the initial digital matrix by using the orthogonal properties of the digital matrix was designed,and then the digital matrix by minimizing the square error of the transmitted signal and the received signal was updated.During each iteration,the phase of the analog matrix could be obtained from the updated digital matrix and the optimal fully digital matrix.The simulation results show that the proposed algorithm has better performance and is closer to fully digital beamforming than OMP hybrid beamforming algorithm and hybrid processing scheme based on matrix decomposition .…”
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Vector Decimation Harmonic Mean-Based Algorithm for Online Acoustic Feedback Active Noise Control by Suman Turpati, Ajay Roy, Tathababu Addepalli, Mohammed Alkahtani, Abdullatif Hakami, Ahmad Faiz Minai, Abdallah Hammad

“…The Filtered Cross Least Mean Square (FxLMS) algorithm is one of ANC’s most successful adaptive algorithms for reducing undesired noise. …”
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K-Means Centroid Optimization with Genetic Algorithm for Clustering Micro, Small, Medium Enterprises in Yogyakarta by Muhammad Faris Akbar, Lisna Zahrotun

Subjects: “…genetic algorithm…”
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An Algorithm for Computing Geometric Mean of Two Hermitian Positive Definite Matrices via Matrix Sign by F. Soleymani, M. Sharifi, S. Shateyi, F. Khaksar Haghani

“…Using the relation between a principal matrix square root and its inverse with the geometric mean, we present a fast algorithm for computing the geometric mean of two Hermitian positive definite matrices. …”
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Mean Shift Fusion Color Histogram Algorithm for Nonrigid Complex Target Tracking in Sports Video by Yu Liu, Xiaoyan Wang

“…Our results of nonrigid complex target tracking by mean shift fusion color histogram algorithm for sports video improve the accuracy by about 8% compared to other studies. …”
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Identification of Anomaly Detection in Power System State Estimation Based on Fuzzy C-Means Algorithm by Di Leng, Ziliang Qiu

“…An anomaly detection identification method based on fuzzy C-means algorithm is proposed to cluster the measured data and identify the anomaly detection of power system. …”
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An improved incremental least-mean-squares algorithm for distributed estimation over wireless sensor networks by Mou Wu, Liansheng Tan, Rong Yang, Runze Wan

“…Thereby we propose an improved incremental least-mean-squares distributed estimation algorithm that starts from the incremental least-mean-squares algorithm and works toward the objective of improvement on initial convergence rate and steady-state performance. …”
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Improving Performance of Cluster Heads Selection in DEC Protocol Using K-Means Algorithm for WSN by Abdulla Juwaied, Lidia Jackowska-Strumillo

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eFC-Evolving Fuzzy Classifier with Incremental Clustering Algorithm Based on Samples Mean Value by Emmanuel Tavares, Gray Farias Moita, Alisson Marques Silva

“…Starting its knowledge base from scratch, the eFC structure evolves based on a clustering algorithm that can add, merge, delete, or update clusters (= rules) simultaneously while providing class predictions. …”
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Optimization of Human Resource Performance Management System Based on Improved R-Means Clustering Algorithm by Rui Wang

“…An improved R-means clustering algorithm and a clustering analysis model based on R-means clustering algorithm are proposed, and the corresponding algorithm flow and implementation are given.…”
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Sedimentary Environment Analysis by Grain-Size Data Based on Mini Batch K-Means Algorithm by Qiao Su, Yanhui Zhu, Yalin Jia, Ping Li, Fang Hu, Xingyong Xu

“…Furthermore, we will use the Mini Batch K-means algorithm with the most appropriate parameters (reassignment ratio ϵ=0.025 and mini batch = 25) to cluster the sediment samples. …”
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K-Gen PhishGuard: an Ensemble Approach for Phishing Detection with K-Means and Genetic Algorithm by Ali Al-Hafiz, Adnan Jabir, Shamala Subramaniam

Subjects: “…AdaBoost; ensemble learning; feature selection; genetic algorithm; K-means clustering; machine learning; phishing detection…”
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A Bridge Crack Segmentation Algorithm Based on Fuzzy C-Means Clustering and Feature Fusion by Yadong Yao, Yurui Zhang, Zai Liu, Heming Yuan

“…In response to the limitations of traditional image processing algorithms, such as high noise sensitivity and threshold dependency in bridge crack detection, and the extensive labeled data requirements of deep learning methods, this study proposes a novel crack segmentation algorithm based on fuzzy C-means (FCM) clustering and multi-feature fusion. …”
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