Suchergebnisse - Optimize the K-Means clustering algorithm

A heap strategy for UAV deployment issues under mobile terrestrial wireless communication networks von Li, Yanlin

“… ). Traditional clustering algorithms are no longer applicable because each drone has a different coverage area size and the traditional K-Means clustering algorithm has no limit on the number of heaps …”
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BPNN anomaly data detection algorithm based on gray wolf algorithm to optimize K-means clustering von Run-Yang, Ming, Feng-Guo, Xing, Feng-Huang, Yuan, Quan-Chen, Bing

“… And update the cluster centers through iterative wolf \alpha to optimize the K-means clustering algorithm …”
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Research on WSN clustering algorithm of firefly algorithm to optimize k-means von Zheng, Xinying

“… routing algorithm of WSN based on the Firefly algorithm to optimize k-means (FAKMC). This paper mainly studies the clustering stage of the network, adopts the k-means …”
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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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Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm von Li, Yue, Chu, Xiaoquan, Tian, Dong, Feng, Jianying, Mu, Weisong

“… To prevent the K-means clustering algorithm from depending on initial cluster centres, the ALPSO algorithm is used to optimize the K-means cluster centres (KM-ALPSO …”
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The WSN intrusion detection method based on deep data mining von Zhang, Yiwei

“… The extracted intrusion features are taken as the initial data of K-means clustering, to optimize the k-means clustering algorithm (KMCA …”
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Investigation on the soil-machine interaction based on slurry shield machine operation data learning: A geological conditions recognition model von Li, Xin, Xue, Yiguo, Li, Guangkun, Qu, Chuanqi, Zhou, Binghua

“… Real-time perception of the geological condition is of great importance to efficient tunneling and hazard prevention in underwater shield tunneling. This study …”
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An improved YOLOv3 method for PCB surface defect detection von Lan, Zhuo, Hong, Yang, Li, Yuan

“… Aiming at the problem that the objective function and evaluation metric are not uniform in the YOLOv3 object detection algorithm, the GIoU performance metric and loss function are used to improve …”
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K -Means Clustering Coarse-Graining (KMC-CG): A Next Generation Methodology for Determining Optimal Coarse-Grained Mappings of Large Biomolecules von Wu, Jiangbo, Xue, Weizhi, Voth, Gregory A

“… In this work, we present a systematic and more generalized method called -means clustering coarse-graining (KMC-CG …”
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Analysis of College Students’ Consumption Behavior Data Based on Fractional-Order Firefly Optimization Clustering Algorithm von Meng, Xiang, He, Qi, Dong, Yanhua, Sun, Hongyu

“… In this paper, the algorithm based on k-means and clustering by fractional-order firefly algorithm (FFA-k-means …”
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Surface Defect Detection of Seals Based on K-Means Clustering Algorithm and Particle Swarm Optimization von Li, Xiaoguang, Zhu, Juan, Shi, Haoran, Cong, Zijian

“… A K-Means clustering image segmentation algorithm based on particle swarm optimization was proposed …”
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An effective partitional clustering algorithm based on new clustering validity index von Zhu, Erzhou, Ma, Ruhui

“… •A new partitional clustering algorithm is designed by integrating the improved K-means algorithm with the new introducted VCVI …”
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High-accuracy iterative localization algorithm for underground mine WSNs with dynamic path loss optimization and RSSI clustering von Wu, Bin

“… on Received Signal Strength Indicator (RSSI) clustering. The algorithm optimizes RSSI data using K-means clustering to dynamically acquire path loss parameters …”
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Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm von Shen, Wei, Guo, Xiaopen, Wu, Chao, Wu, Desheng

“… We introduce the artificial fish swarm algorithm (AFSA) to optimize RBF. To increase forecasting efficiency, a K-means clustering algorithm is optimized by AFSA in the learning process of RBF …”
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Early Warning of Financial Risk Based on K-Means Clustering Algorithm von Zhu, Zhangyao, Liu, Na

“… 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 …”
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Machine Learning for Evaluating the Cytotoxicity of Mixtures of Nano-TiO2 and Heavy Metals: QSAR Model Apply Random Forest Algorithm after Clustering Analysis von Sang, Leqi, Wang, Yunlin, Zong, Cheng, Wang, Pengfei, Zhang, Huazhong, Guo, Dan, Yuan, Beilei, Pan, Yong

“… PLS and two ensemble learning algorithms are used to build multiple QSAR models …”
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Optimized Data Fusion for Kernel k-Means Clustering von Shi Yu, Tranchevent, Leon-Charles, Xinhai Liu, Glanzel, W., Suykens, J. A. K., De Moor, B., Moreau, Y.

“… This paper presents a novel optimized kernel k-means algorithm (OKKC) to combine multiple data sources for clustering analysis …”
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Hybrid Text Embedding and Evolutionary Algorithm Approach for Topic Clustering in Online Discussion Forums von Bouabdallaoui, Ibrahim, Guerouate, Fatima, Sbihi, Mohammed

“… —Latent Dirichlet Allocation (LDA) and BERT—trained on a singular autoencoder. Additionally, it proposes an amalgamation of K-Means and Genetic Algorithms for clustering topics within triadic discussion forum threads …”
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Hybrid Energy-Efficient Clustering With Reinforcement Learning for IoT-WSNs Using Knapsack and K -Means von Aleem, Abdul, Thumma, Rajesh

“… ), the energy-efficient Knapsack algorithm (EEKA), K-means clustering, and reinforcement learning (RL …”
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A feature group weighting method for subspace clustering of high-dimensional data von Chen, Xiaojun, Ye, Yunming, Xu, Xiaofei, Huang, Joshua Zhexue

“… A new optimization model is given to define the optimization process and a new clustering algorithm FG- k-means is proposed to optimize the optimization model …”
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