Retracted: Early Warning of Financial Risk Based on K-Means Clustering Algorithm by null Complexity

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Determination of the Caving Zone and Fracture Zone Heights by Using the LK-Means Algorithm by Ze Zhou, Juncai Cao, Long Lai, Jinlian Zhou, Mengtang Xu

“…In this paper, Universal Distinct Element Code numerical simulations were conducted. Furthermore, the LK-means algorithm was used to determine the caving zone and fracture zone heights. …”
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Clustering of High School Students Academic Scores Using K-Means Algorithm by Chairunisa Azzahra, Sriani Sriani

“…The clustering of student subject scores in senior high school is conducted using the K-Means Clustering algorithm. The issue addressed in this study is how to optimally group students based on their academic scores to help schools understand the distribution of student abilities. …”
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k-Means Clustering Algorithm and Its Simulation Based on Distributed Computing Platform by Chunqiong Wu, Bingwen Yan, Rongrui Yu, Baoqin Yu, Xiukao Zhou, Yanliang Yu, Na Chen

“…After the parallel processing of the MapReduce, we use many nodes to calculate distance, which speeds up the efficiency of the algorithm. Finally, the clustering of data objects is parallelized. …”
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WSN clustering routing algorithm based on PSO optimized fuzzy C-means by Aijing SUN, Shichang LI, Yicai ZHANG

“…Aimed at the problems of limited energy and unbalanced load in wireless sensor network, POFCA based on particle swarm optimization fuzzy C-means was proposed.POFCA was respectively optimized from the cluster stage and the data transmission stage.In the clustering stage, the particle swarm optimization fuzzy C-means was firstly used to overcome the sensitivity to the initial clustering center.And the cluster head was dynamically updated according to the remaining power and the relative distance of the nodes to balance the network load.Then in the data transfer phase, a path evaluation function was designed based on the distance factor, the energy factor and the nodal load.Besides, the cat swarm optimization was used to search the optimal routing path for the cluster head to balance the load of the cluster head without increasing the load of the relay node.The simulation result shows that compared with algorithms of LEACH and LEACH-improved, POFCA can effectively balance the network load, reduce the energy consumption of nodes and extend the lifetime of the entire network.…”
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Selection of agricultural industry stocks by application of K-means algorithm with Elbow method by Surya Febrian Sandi, Mutasowifin Ali

“…This study aims to cluster agricultural product industry stocks listed on the Indonesia Stock Exchange from 2020-2023 using the K-Means clustering algorithm with the Elbow method using the Python 3.10 analysis tool to determine clusters that contain a collection of stocks with the best financial performance. …”
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Step-by-step classification detection algorithm of SPPM based on K-means clustering by Huiqin WANG, Wenbin HOU, Qingbin PENG, Minghua CAO, Rui HUANG, Ling LIU

“…In view of the high computational complexity in spatial pulse position modulation systems when using maximum likelihood detection algorithm, a step-by-step classification detection algorithm based on K-means clustering was proposed according to the characteristics of signal matrix with spatial pulse position modulation.The signal vector detection algorithm was utilized to detect the index of light source in the training samples.The on K-means clustering algorithm was utilized to acquire the mapping rule between centroid of samples and modulated symbol by offline training.Subsequently, online detection of modulated symbols was achieved based on the mapping rule, and then the index of light sources was detected by exhaustive search.In addition, Monte Carlo method was used to investigate the effects of key parameters such as the number of clusters and initialization times on the system bit error rate (BER) performance.Simulation results demonstrate that the proposed algorithm can achieve an approximate BER performance as the maximum likelihood algorithm on the basis of greatly reducing the computational complexity.Compared with the linear decoding algorithms, the proposed algorithm is also applicable to scenarios where the number of detectors is less than the number of light sources.…”
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MONITORING SYSTEM DATA PROCESSING ALGORITHM OF WELD-BONDED COUPLING INSTALLATION OF THE MAIN PIPELINES by G. S. Tymchik, A. A. Podolian

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Comparative Study of Earthquake Clustering in Indonesia Using K-Medoids, K-Means, DBSCAN, Fuzzy C-Means and K-AP Algorithms by Nurfidah Dwitiyanti, Siti Ayu Kumala, Shinta Dwi Handayani

“…This research evaluates the effectiveness of five clustering algorithms—K-Medoids, K-Means, DBSCAN, Fuzzy C-Means, and K-Affinity Propagation (K-AP)—for analyzing earthquake data from January 2017 to January 2023. …”
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The Comparison Combination of Naïve Bayes Classification Algorithm with Fuzzy C-Means and K-Means for Determining Beef Cattle Quality in Semarang Regency by Feroza Rosalina Devi, Endang Sugiharti, Riza Arifudin

“…In this research, used the combination of Naïve Bayes Classification and Fuzzy C-Means algorithm also Naïve Bayes Classification and K-Means. …”
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An Oracle Normalized Least Mean Square (NLMS) Algorithm and a Simple Bayesian Detection NLMS Algorithm Robust to Impulse Noise by Hadi Zayyani, Yaser Attar

“…This paper suggests an oracle normalized least-mean-square (NLMS) algorithm and a simple Bayesian detection NLMS impulse noise detection algorithm as an effective adaptive algorithm against impulsive noises. …”
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Big data technology for teaching quality monitoring and improvement in higher education - joint K-means clustering algorithm and Apriori algorithm by Yang Li, Haiyu Zhang

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Fault Information Processing of Power Dispatching Communication System Combining MMSE Algorithm and LMS by Lianrong Pan, Xiao Yang, Yuan Fu, Yuyang Hu, Shangbin Yuan

“…Finally, the study establishes a novel fault information processing model for the power dispatching communication system by combining the least mean square error detection algorithm and the least mean square filtering algorithm. …”
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Cuneiform Symbols Recognition Based on K-Means and Neural Network by Naktal Edan

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Classification of Tropical Cyclone Tracks in the Northwest Pacific Based on the SD-K-Means Model by Nan Xu, Baisong Yang, Jia Ren

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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

“…The structure of the algorithm for building a system of payment interaction of enterprises of the fuel and energy complex has been off red. …”
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K-means Clustering, Unsupervised Classification, K-NN, Euclidean Distance, Genetic Algorithm by Maaeda Mohsin Rashid

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Optimizing Electric Vehicle Routing Efficiency Using K-Means Clustering and Genetic Algorithms by Tal Gaon, Yovel Gabay, Miri Weiss Cohen

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Collocating Recommendation Method for E-Commerce Based on Fuzzy C-Means Clustering Algorithm by LiJia Wang, Yanyan Jiang

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Development of a Decision Support System for Urban Planning by Using K-means ++ Algorithm by Hussein Ali Salih, Ahmed Shihab Ahmed, Jalal Qais Jameel

“…Preparatory execution comes about demonstrate that DSS-UP viably and effectively underpins the decision-making process identified with overseeing urban foundations by using K-means++ data mining algorithm.…”
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