Application of Formal Concept Analysis and Clustering Algorithms to Analyze Customer Segments by I Gede Bintang Arya Budaya, I Komang Dharmendra, Evi Triandini

“…Both K-Means and GMM algorithms recommended the optimal number of clusters as the customer segment is four. …”
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Self-supervised change detection of heterogeneous images based on difference algorithms by Jinsha Wu, Shuwen Yang, Yikun Li, Yukai Fu, Zhuang Shi, Yao Zheng

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The identification of cephalosporins antibiotics using IR spectroscopy and chemometric algorithms by Shabunina, Anna Yu., Rusanova, Tatyana Yu.

“…The use of mid-fi eld infrared spectroscopy in combination with chemometric algorithms for the identifi cation of cephalosporin antibiotics in the form of injectable powders is demonstrated. …”
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Gearbox Fault Diagnosis Method Based on Improved Multi-scale Mean Permutation Entropy and Parameter Optimization SVM by Guo Panpan, Zhang Wenbin, Cui Ben, Xu Han

Subjects: “…Multi-scale mean permutation entropy…”
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Accuracy Comparison of Machine Learning Algorithms on World Happiness Index Data by Sadullah Çelik, Bilge Doğanlı, Mahmut Ünsal Şaşmaz, Ulas Akkucuk

Subjects: “…machine learning algorithms…”
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Irrelevant data elimination based on a k-means clustering algorithm for efficient data aggregation and human activity classification in smart home sensor networks by Siriporn Pattamaset, Jae Sung Choi

“…In order to enhance the sensor network in smart home applications, we propose the irrelevant data elimination based on k-means clustering algorithm to enhance data aggregation. …”
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Treatment journey clustering with a novel kernel k-means machine learning algorithm: a retrospective analysis of insurance claims in bipolar I disorder by Matthew Littman, Huy-Binh Nguyen, Joanna Campbell, Katelyn R. Keyloun

“…Here, we developed a novel kernel k-means clustering algorithm for event sequences that can accommodate highly diverse event types and sequence lengths. …”
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Application of Extra-Trees Regression and Tree-Structured Parzen Estimators Optimization Algorithm to Predict Blast-Induced Mean Fragmentation Size in Open-Pit Mines by Madalitso Mame, Shuai Huang, Chuanqi Li, Jian Zhou

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Minimizing Delay at Closely Spaced Signalized Intersections Through Green Time Ratio Optimization: A Hybrid Approach With K-Means Clustering and Genetic Algorithms by Ruti R. Politi, Serhan Tanyel

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Digital Spectral Analysis by means of the Method of Averag Modified Periodograms Using Binary-Sign Stochastic Quantization of Signals by V. N. Yakimov

“…The method of averaging modified periodograms is one of the main methods for estimating the power spectral density (PSD). …”
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APPLICATION OF SUGENO FUZZY INFERENCE ALGORITHM IN THE PROBLEM OF PREDICTING THE RESIDUAL LIFE OF AVIATION RADIOTECHNICAL EQUIPMENT by Trần Minh Hải, Ku Thanh Phong, Nguyen The Thang, Nguyễn Thanh Sáng, N.K. Yurkov, Phạm Văn Tú

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An effective imputation approach for handling missing data using intuitionistic fuzzy clustering algorithms by Kavita Sethia, Jaspreeti Singh, Anjana Gosain

“…Experimental analysis and statistical analysis (Friedman Test) on four UCI datasets, using two performance metrics, Mean Absolute Error (MAE) and Root Mean Square Error (RMSE), demonstrate that the proposed algorithms consistently outperform eight existing fuzzy clustering-based MDI algorithms.…”
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AI-driven innovation and entrepreneurship education: a K-means clustering approach for Chinese university students by Hongshun Zhang

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Reduced Gaussian Kernel Filtered-x LMS Algorithm with Historical Error Correction for Nonlinear Active Noise Control by Jinhua Ku, Hongyu Han, Weixi Zhou, Hong Wang, Sheng Zhang

Subjects: “…kernel filtered-x least mean square algorithm…”
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AOAFS: A Malware Detection System Using an Improved Arithmetic Optimization Algorithm by Rafat Alshorman, Bilal H. Abed-alguni, Yaqeen E. Alqudah

Subjects: “…arithmetic optimization algorithm…”
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Regional Spatial Mean of Ionospheric Irregularities Based on K-Means Clustering of ROTI Maps by Yenca Migoya-Orué, Oladipo E. Abe, Sandro Radicella

“…The results obtained could be adapted by appropriate K-means algorithms to a real-time scenario, as has been performed for other applications. …”
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A Variable Step-Size FxLMS Algorithm for Nonlinear Feedforward Active Noise Control by Thi Trung Tin Nguyen, Faxiang Zhang, Jing Na, Le Thai Nguyen, Gengen Li, Altyib Abdallah Mahmoud Ahmed

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Independently Identifying Noise Clusters in 2D LiDAR Scanning with Clustering Algorithms by Chiew Wei Wen, Chuan Hsian Pu

“…The research proposes a novel method for independently identifying and filtering noise clusters in 2-Dimensional (2D) LiDAR scans based on 2 distinct clustering algorithms of K-Means and Density-Based Spatial Clustering of Applications with Noise (DBSCAN). …”
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Application of Fuzzy Algorithms and Analytical Hierarchy Process Modification in Decision Support Systems for Lazis Scholarship UNNES by Dimas Bayu Satria Permadi, Alamsyah Alamsyah

“…So that it will be modified based on previous research and the addition of fuzzy algorithms to get a better decision support system method. …”
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The main approaches to the diagnosis and treatment of osteoporosis by N. V. Toroptsova, A. O. Sorokina, O. V. Dobrovolskaya

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