Suchergebnisse - improved k-means clustering algorithm

Research on k-means Clustering Algorithm: An Improved k-means Clustering Algorithm von Shi Na, Liu Xumin, Guan Yong

“… This paper discusses the standard k-means clustering algorithm and analyzes the shortcomings of standard k-means algorithm, such as the k-means clustering algorithm has to calculate the distance …”
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Application of Improved K-Means Clustering Algorithm in Targeted Practice of College Volleyball Fitness Training Classification von Feng, Maodi

“… men’s volleyball teams in ordinary colleges and universities in my country’s volleyball career has been further improved …”
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An improved preconditioned unsupervised K-means clustering algorithm: An improved preconditioned unsupervised K-means von Sun, Tiantian, Peng, Xiaofei, Ge, Wenxiu, Xu, Weiwei

“… The Unsupervised K -means clustering (UKM) algorithm has attracted the attention of many researchers because it can automatically identify the number of clusters without requiring any parameter selection …”
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An Improved K-Means Clustering Intrusion Detection Algorithm for Wireless Networks Based on Federated Learning von Xie, Bin, Dong, Xinyu, Wang, Changguang

“… , and high cost in obtaining labeled training data sets. This paper presents an improved k-means clustering algorithm for detecting intrusions on wireless networks based on Federated Learning …”
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Application of an improved k‐means clustering algorithm in power user grouping von Gang, Wu, Dongdong, Zhang, Shengrong, Fan

“… Aiming at the shortcomings of traditional k‐means clustering algorithm, this paper proposes a density based k …”
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Research on Reconstruction of Basketball Training Action Trajectory Based on Improved K-Means Clustering Algorithm von Peng, Yongwei, Gao, Weiyi

“… This paper introduces the research status of clustering methods in the field of trajectory data mining and reconstruction in detail …”
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WeDIV – An improved k-means clustering algorithm with a weighted distance and a novel internal validation index von Ning, Zilan, Chen, Jin, Huang, Jianjun, Sabo, Umar Jlbrilla, Yuan, Zheming, Dai, Zhijun

“… This study proposed an improved k-means clustering algorithm involving a Weighted Distance and a novel Internal Validation index (WeDIV …”
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An improved K-means clustering algorithm for fish image segmentation von Yao, Hong, Duan, Qingling, Li, Daoliang, Wang, Jianping

“… and mathematical morphology. Firstly, the traditional K-means clustering segmentation algorithm has been improved for fish images …”
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Analyzing commercial aircraft fuel consumption during descent: A case study using an improved K-means clustering algorithm von Zhu, Qing, Pei, Jun, Liu, Xinbao, Zhou, Zhiping

“… The analysis of aircraft fuel consumption remains an important topic as fuel consumption constitutes a large portion of airline operational costs, and exhaust …”
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Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks von Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, Henry, Jerome

“… </tex-math></inline-formula>-means) clustering algorithm to balance the energy consumption of nodes in WSNs …”
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An Edge Computing Node Deployment Method Based on Improved k-Means Clustering Algorithm for Smart Manufacturing von Jiang, Chun, Wan, Jiafu, Abbas, Haider

“… With the rapid development of the mobile Internet, Industrial Internet of Things, cyber-physical systems, and the emergence of edge computing has provided an …”
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Diffusing-CRN k-means: an improved k-means clustering algorithm applied in cognitive radio ad hoc networks von Benmammar, Badr, Taleb, Mohammed Housseyn, Krief, Francine

“… ; in this case the use of clustering is an effective approach to meet this challenge. Indeed, the geographical areas are homogeneous in terms of type of radio spectrum, radio resources are better allocated by grouping cognitive radio nodes per cluster …”
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k-Means NANI: An Improved Clustering Algorithm for Molecular Dynamics Simulations von Chen, Lexin, Roe, Daniel R, Kochert, Matthew, Simmerling, Carlos, Miranda-Quintana, Ramón Alain

“… One of the key challenges of -means clustering is the seed selection or the initial centroid estimation since the clustering result depends heavily on this choice …”
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Improved K‐means algorithm for clustering non‐spherical data von He, Honglei, He, Yuxuan, Wang, Fang, Zhu, Wenming

“… As one of the commonly used data mining algorithms, K‐means has the advantage of fast clustering speed, but the disadvantage is that it is less effective for clustering non‐spherical data. An improved K‐means algorithm (IK‐means …”
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Retracted: Digital Industry Financial Risk Early Warning System Based on Improved K-Means Clustering Algorithm von Intelligence and Neuroscience, Computational

“… [This retracts the article DOI: 10.1155/2022/6797185.].[This retracts the article DOI: 10.1155/2022/6797185.] …”
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Digital Industry Financial Risk Early Warning System Based on Improved K-Means Clustering Algorithm von Duan, Xiao-li, Du, Xue-xia, Guo, Li-mei

“… In order to detect and warn digital industry financial risks in time, this paper proposes an early warning system of digital industry financial risks based on improved K-means clustering algorithm …”
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Improvement of the Fast Clustering Algorithm Improved by K-Means in the Big Data von Xie, Ting, Liu, Ruihua, Wei, Zhengyuan

“… Clustering as a fundamental unsupervised learning is considered an important method of data analysis, and -means is demonstrably the most popular clustering algorithm …”
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Improved rough k-means clustering algorithm based on weighted distance measure with Gaussian function von Zhang, Tengfei, Ma, Fumin

“… Rough k-means clustering algorithm and its extensions are introduced and successfully applied to real-life data where clusters do not necessarily have crisp boundaries …”
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Diffusing-CRN k-means: an improved k-means clustering algorithm applied in cognitive radio ad hoc networks von Benmammar, Badr, Taleb, Mohamed Housseyn, Krief, Francine

“… ; in this case the use of clustering is an effective approach to meet this challenge. Indeed, the geographical areas are homogeneous in terms of type of radio spectrum, radio resources are better allocated by grouping cognitive radio nodes per cluster …”
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Research on the Application of Improved K-Means Spatial Clustering Algorithm in Landscape Conservation of Gardens von Sun, Hao, Yang, Yuanyuan

“… The original K-means clustering algorithm is then improved, and the new algorithm is created by combining PSO with the K-means algorithm in the high-dimensional spatial data set …”
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