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Accelerating the k-Means++ Algorithm by Using Geometric Information
Published 2025-01-01“…In this paper, we propose an acceleration of the exact k-means++ algorithm using geometric information, specifically the Triangle Inequality and additional norm filters, along with a two-step sampling procedure. …”
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Improved K-Means Algorithm for Nearby Target Localization
Published 2025-01-01“…To tackle the problem of unknown initial positions of target sources, we employ a grid density peak clustering(DPC) method for initial localization. In the K-means algorithm, we integrate a quartile range anomaly detection algorithm to address interference signal issues. …”
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Application of Improved K-Means Algorithm in Collaborative Recommendation System
Published 2022-01-01“…The research combines the improved artificial bee colony algorithm with K-means algorithm and applies them to the recommendation system to form a collaborative filtering recommendation algorithm. …”
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Initialization improvement and clustering quality evaluation of K-means algorithm
Published 2024-12-01Subjects: “…k-means algorithm…”
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Clustering Analysis of the Energy Mix in Romania Using K-Means Algorithm
Published 2023-08-01Get full text
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Distributed K-Means algorithm based on a Spark optimization sample
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K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm
Published 2022-01-01“…In order to study the psychological anxiety of the elderly, a psychological stress recognition algorithm based on ECG signal acquisition and heart rate variability was proposed based on the K-means algorithm. By collecting ECG signals of the elderly, HRV information can be accurately obtained, and RFC can be used to identify the psychological changes of the elderly under different degrees of stress. …”
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Game and Application Purchasing Patterns on Steam using K-Means Algorithm
Published 2024-11-01“…The study finds an average silhouette coefficient of 0.345 and a precision purity value of 0.734, indicating that the k-means algorithm performs optimally based on the precision purity metric. …”
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Distributed K-Means algorithm based on a Spark optimization sample.
Published 2024-01-01“…To address the instability and performance issues of the classical K-Means algorithm when dealing with massive datasets, we propose SOSK-Means, an improved K-Means algorithm based on Spark optimization. …”
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Research on Grounding Grid Corrosion Diagnosis Based on Genetic K‐Means Algorithm
Published 2025-06-01“…In this paper, the genetic K‐means algorithm (GKA) is proposed to solve the mathematical model and judge the corrosion of grounding conductors. …”
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Prediction of Electrical Grid Stability Using Naïve Bayes and K-Means Algorithm
Published 2025-07-01“…This study explores the use of Naive Bayes and k-means algorithms to predict and analyzed stability of the electrical grid. …”
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Analysis of Internet Marketing Forecast Model Based on Parallel K-Means Algorithm
Published 2021-01-01“…Secondly, the weights in the K-means algorithm are mostly only applicable to target detection tasks. …”
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Application of PSO-integrated K-means algorithm in resident digital portrait classification
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Determination of the Caving Zone and Fracture Zone Heights by Using the LK-Means Algorithm
Published 2023-01-01“…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
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Selection of agricultural industry stocks by application of K-means algorithm with Elbow method
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Development of a Decision Support System for Urban Planning by Using K-means ++ Algorithm
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Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm
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Implementation of the K-Means Algorithm for Customer Churn Segmentation in Developing Bank Marketing Strategies
Published 2025-07-01“…This study aims to segment customers based on characteristics that influence their churn risk using the K-Means algorithm. The data used in this research is secondary data consisting of 9,763 customer records from a bank customer churn dataset obtained via the Kaggle platform. …”
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Retracted: Efficiency Analysis of Machine Learning Intelligent Investment Based on K-Means Algorithm
Published 2020-01-01“…The results show that the machine learning based on K-means algorithm makes a concrete analysis of the investment efficiency of Capricorn Smart Investment, this method can also be used for the efficiency analysis of other smart investment products.…”
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