Main control factors affecting mechanical oil recovery efficiency in complex blocks identified using the improved k-means algorithm. by Qiuyu Lu, Suling Wang, Minzheng Jiang, Yanchun Li, Kangxing Dong

“…Taking an oil production block in the Daqing Oilfield as the research object, the k-means and improved algorithm are used to analyse the main control factors influencing mechanical production efficiency. …”
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Turbid of Water By Using Fuzzy C- Means and Hard K- Means by Rand Muhaned Fawzi, Iden Hassan Alkanani

Subjects: “…Clustering, Turbid water, Fuzzy C Means algorithm, Hard K Means algorithm.…”
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K-Means Algorithm to Identify the Elderly Psychological Stress Analysis Algorithm by Yan Gao

“…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. …”
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An effective and efficient hierarchical -means clustering algorithm by Jianpeng Qi, Yanwei Yu, Lihong Wang, Jinglei Liu, Yingjie Wang

“…K -means plays an important role in different fields of data mining. …”
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An Optimized Version of the K-Means Clustering Algorithm by Cosmin Marian Poteraş, Cristian Mihăescu, Mihai Mocanu

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Fast algorithm for finding mean minimum distances by N. E. Timofeeva

“…In this paper we describe an algorithm for finding mean minimum distances between strings io,..., £s for all s ^ n. …”
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Approaching the Power Logarithmic and Difference Means by Iterative Algorithms Involving the Power Binomial Mean by Mustapha Raïssouli

“…Introducing the notion of cross means we give iterative algorithms involving the power binomial mean and converging to the power logarithmic and difference means. …”
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IMPLEMENTATION OF FUZZY C-MEANS AND FUZZY POSSIBILISTIC C-MEANS ALGORITHMS ON POVERTY DATA IN INDONESIA by Dian Kurniasari, Virda Kurniawati, Aang Nuryaman, Mustofa Usman, Rizki Khoirun Nisa

“…The methodologies employed include the Fuzzy C-Means (FCM) and Fuzzy Probabilistic C-Means (FPCM) algorithms. …”
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Accelerating the k-Means++ Algorithm by Using Geometric Information by Guillem Rodriguez Corominas, Maria J. Blesa, Christian Blum

“…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 by Zongwen Yuan, Xingdi Wang, Fuyang Chen, Xicheng Ma

“…In the K-means algorithm, we integrate a quartile range anomaly detection algorithm to address interference signal issues. …”
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Improvement of Differential Privacy K-means Clustering Algorithm by GUO Rumin, CHEN Xuebin, SHAN Liyang

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WSN clustering routing algorithm based on Cuckoo Search algorithm optimized K-means by Kailei ZHU, Aijing SUN

Subjects: “…wireless sensor network;cuckoo search algorithm;K-means clustering;even clustering;balanced energy consumption…”
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Mathematical Formalization and Algorithmization of the Main Modules of Organizational and Technical Systems by A. A. Solodov

“…The formalization and algorithmization of the organizational and technical systems behavior is undertaken mainly in terms of the Bayesian criterion of optimal statistical estimates. …”
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Radio Mean Labeling Algorithm, Its Complexity and Existence Results by Meera Saraswathi, K. N. Meera, Yuqing Lin

Subjects: “…approximation algorithm…”
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Biodiversity in NLP: modelling lexical meaning with the Fruit Fly Algorithm by Simon Preissner, Aurélie Herbelot

“…Inspired by the biodiversity of the real world, we argue for a methodology which promotes ‘artificial diversity’, and we further propose that cognitively-inspired algorithms are a good starting point to explore new architectures. …”
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Application of Improved K-Means Algorithm in Collaborative Recommendation System by Hui Jing

“…However, the recommendation quality and efficiency of collaborative filtering recommendation algorithms are low. 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 by HE Xuansen, HE Fan, YU Hailan

Subjects: “…k-means algorithm…”
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Comparison of Clustering Algorithms: Fuzzy C-Means, K-Means, and DBSCAN for House Classification Based on Specifications and Price by Dhendy Mardiansyah Putra, Ferian Fauzi Abdulloh

“…This study aims to compare the performance of three clustering algorithms, namely Fuzzy C-Means, K-Means, and DBSCAN, in grouping houses based on their specifications and prices. …”
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Early Warning of Financial Risk Based on K-Means Clustering Algorithm by Zhangyao Zhu, Na Liu

“…The fragility of financial system and the destructiveness of financial crisis make it extremely important to build a good financial risk early-warning mechanism. The main idea of the K-means clustering algorithm is to gradually optimize clustering results and constantly redistribute target dataset to each clustering center to obtain optimal solution; its biggest advantage lies in its simplicity, speed, and objectivity, being widely used in many research fields such as data processing, image recognition, market analysis, and risk evaluation. …”
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HC-means clustering algorithm for precision marketing on e-commerce platforms by Dan Wu, Xin Liu

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