Suchergebnisse - "Clustering algorithms"

A General 3D Space-Time-Frequency Non-Stationary Model for 6G Channels von Huang, Ziwei, Cheng, Xiang

“… In this paper, a general three-dimensional (3D) space-time-frequency non-stationary model is proposed for sixth generation (6G) channels. From the proposed …”
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A Taxonomy of Machine Learning Clustering Algorithms, Challenges, and Future Realms von Pitafi, Shahneela, Anwar, Toni, Sharif, Zubair

“… In the field of data mining, clustering has shown to be an important technique. Numerous clustering methods have been devised and put into practice, and most …”
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Evolutionary Markov Dynamics for Network Community Detection von Wang, Zhen, Wang, Chunyu, Li, Xianghua, Gao, Chao, Li, Xuelong, Zhu, Junyou

“… Community structure division is a crucial problem in the field of network data analysis. Algorithms based on Markov chains are easy to use and provide …”
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How much can k-means be improved by using better initialization and repeats? von Fränti, Pasi, Sieranoja, Sami

“… •K-means clustering algorithm can be significantly improved by using a better initialization technique, and by repeating (re-starting) the algorithm.•When the …”
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Multi-IRS and Multi-UAV-Assisted MEC System for 5G/6G Networks: Efficient Joint Trajectory Optimization and Passive Beamforming Framework von Asim, Muhammad, ELAffendi, Mohammed, El-Latif, Ahmed A. Abd

“… This article presents a multi-intelligent reflecting surface (IRS)- and multi-unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system for …”
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Practitioner's Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls von Sinha, Pratik, Calfee, Carolyn S, Delucchi, Kevin L

“… Latent class analysis is a probabilistic modeling algorithm that allows clustering of data and statistical inference. There has been a recent upsurge in the …”
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Self-Supervised Self-Organizing Clustering Network: A Novel Unsupervised Representation Learning Method von Li, Shuo, Liu, Fang, Jiao, Licheng, Chen, Puhua, Li, Lingling

“… Deep learning-based clustering methods usually regard feature extraction and feature clustering as two independent steps. In this way, the features of all …”
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A Fuzzy Clustering Algorithm-Based Dynamic Equivalent Modeling Method for Wind Farm With DFIG von Zou, Jianxiao, Peng, Chao, Xu, Hongbing, Yan, Yan

“… With the increasing capacity of grid connected wind farms, the influence of wind power to stable operation of an electric power system is becoming more and …”
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An Efficient Framework for Clustered Federated Learning von Ghosh, Avishek, Chung, Jichan, Yin, Dong, Ramchandran, Kannan

“… We address the problem of federated learning (FL) where users are distributed and partitioned into clusters. This setup captures settings where different …”
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SPICE: Semantic Pseudo-Labeling for Image Clustering von Niu, Chuang, Shan, Hongming, Wang, Ge

“… The similarity among samples and the discrepancy among clusters are two crucial aspects of image clustering. However, current deep clustering methods suffer …”
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Extended Isolation Forest von Hariri, Sahand, Kind, Matias Carrasco, Brunner, Robert J.

“… We present an extension to the model-free anomaly detection algorithm, Isolation Forest. This extension, named Extended Isolation Forest (EIF), resolves issues …”
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Fast Markov Clustering Algorithm Based on Belief Dynamics von Li, Huijia, Xu, Wenzhe, Qiu, Chenyang, Pei, Jian

“… Graph clustering is one of the most significant, challenging, and valuable topic in the analysis of real complex networks. To detect the cluster configuration …”
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Adaptive Asynchronous Clustering Algorithms for Wireless Mesh Networks von Qiao, Cheng, Brown, Kenneth N., Zhang, Fan, Tian, Zhihong

“… It is a challenge to generate an accurate machine learning model in a distributed network due to the increased concern in data privacy and high cost in …”
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Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering von Chen, Yongyong, Xiao, Xiaolin, Peng, Chong, Lu, Guangming, Zhou, Yicong

“… Graph and subspace clustering methods have become the mainstream of multi-view clustering due to their promising performance. However, (1) since graph …”
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Placement Optimization of UAV-Mounted Mobile Base Stations von Lyu, Jiangbin, Zeng, Yong, Zhang, Rui, Lim, Teng Joon

“… In terrestrial communication networks without fixed infrastructure, unmanned aerial vehicle-mounted mobile base stations (MBSs) provide an efficient solution …”
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Fast Parameter-Free Multi-View Subspace Clustering With Consensus Anchor Guidance von Wang, Siwei, Liu, Xinwang, Zhu, Xinzhong, Zhang, Pei, Zhang, Yi, Gao, Feng, Zhu, En

“… Multi-view subspace clustering has attracted intensive attention to effectively fuse multi-view information by exploring appropriate graph structures. Although …”
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A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects von Ezugwu, Absalom E., Ikotun, Abiodun M., Oyelade, Olaide O., Abualigah, Laith, Agushaka, Jeffery O., Eke, Christopher I., Akinyelu, Andronicus A.

“… Clustering is an essential tool in data mining research and applications. It is the subject of active research in many fields of study, such as computer …”
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Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks von Feng, Chenyuan, Yang, Howard H., Hu, Deshun, Zhao, Zhiwei, Quek, Tony Q. S., Min, Geyong

“… Implementing federated learning (FL) algorithms in wireless networks has garnered a wide range of attention. However, few works have considered the impact of …”
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GMC: Graph-Based Multi-View Clustering von Wang, Hao, Yang, Yan, Liu, Bing

“… Multi-view graph-based clustering aims to provide clustering solutions to multi-view data. However, most existing methods do not give sufficient consideration …”
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Multiview Clustering: A Scalable and Parameter-Free Bipartite Graph Fusion Method von Li, Xuelong, Zhang, Han, Wang, Rong, Nie, Feiping

“… Multiview clustering partitions data into different groups according to their heterogeneous features. Most existing methods degenerate the applicability of …”
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