Suchergebnisse - fast adaptive clustering algorithm

Algorithm of Adaptive Fast Clustering for Fish Swarm Color Image Segmentation von Sun, Longqing, Luo, Bing, Liu, Ting, Liu, Yan, Wei, Yaoguang

“… segmentation is the basis of fish shoal monitoring. In this paper, algorithm of adaptive fast clustering for fish swarm color image segmentation was proposed by combining the fish swarm hypoxia image features and K-Means++ algorithm …”
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A fast partitioning algorithm using adaptive Mahalanobis clustering with application to seismic zoning von Morales-Esteban, Antonio, Martínez-Álvarez, Francisco, Scitovski, Sanja, Scitovski, Rudolf

“… In this paper we construct an efficient adaptive Mahalanobis k-means algorithm. In addition, we propose a new efficient algorithm to search for a globally optimal partition obtained by using the adoptive Mahalanobis distance-like function …”
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An adaptive threshold fast DBSCAN algorithm with preserved trajectory feature points for vessel trajectory clustering von Bai, Xiangen, Xie, Zhexin, Xu, Xiaofeng, Xiao, Yingjie

“… Clustering using the data stored in The Automatic Identification System (AIS) is a current research hotspot …”
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Fast Searching Density Peak Clustering Algorithm Based on Shared Nearest Neighbor and Adaptive Clustering Center von Lv, Yi, Liu, Mandan, Xiang, Yue

“… In order to solve the problem that the existing algorithms always need prior knowledge, we proposed a fast searching density peak clustering algorithm based on the shared nearest neighbor …”
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Adaptive and fast density clustering algorithm von Zhiping Zhou, Jiefeng Wang, Ziwen Sun

“… In order to solve the above problems, improved adaptive parameters choice and fast region query density clustering algorithm …”
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FASTBEE: A Fast and Self-Adaptive Clustering Algorithm Towards to Edge Computing von Du, Haizhou, Zeng, Shuqin, Dou, Tingting, Fang, Wei, Wang, Yi, Zhang, Chenlu

“… In order to improve the operating efficiency in the network, we put forward that applying a fast and self-adaptive clustering algorithm to the edge computing which helps the edge devices …”
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Efficient streaming text clustering von Zhong, Shi

“… ) algorithm with an existing scalable clustering strategy to achieve fast and adaptive clustering of text streams …”
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An Adaptive Feature Selection Algorithm for Fuzzy Clustering Image Segmentation Based on Embedded Neighbourhood Information Constraints von Ren, Hang, Hu, Taotao

“… This paper addresses the lack of robustness of feature selection algorithms for fuzzy clustering segmentation with the Gaussian mixture model …”
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Multi-strategy differential evolution algorithm based on adaptive hash clustering and its application in wireless sensor networks von Bu, Xianglong, Zhang, Qingke, Gao, Hao, Zhang, Huaxiang

“… ) algorithm called MHDE. The MHDE algorithm introduces hash clustering technology combined with adaptive mutation strategies …”
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SAKM: Self-adaptive kernel machine A kernel-based algorithm for online clustering von Amadou Boubacar, Habiboulaye, Lecoeuche, Stéphane, Maouche, Salah

“… This paper presents a new online clustering algorithm called SAKM (Self-Adaptive Kernel Machine …”
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Recursive-clustering-based approach for denial of service (DoS) attacks in wireless sensors networks von Fouchal, S., Mansouri, D., Mokdad, L., Iouallalen, M.

“… Indeed, we use the common clustering WSN algorithm Low Energy Algorithm Adaptive Clustering Hierarchy and the general clustering method Fast and Flexible Unsupervised Clustering Algorithm (FFUCA …”
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Adaptive Denoising-Enhanced LiDAR Odometry for Degeneration Resilience in Diverse Terrains von Ji, Mazeyu, Shi, Wenbo, Cui, Yujie, Liu, Chengju, Chen, Qijun

“… First, a fast adaptive Euclidean clustering algorithm based on range …”
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Segmentation and Diagnosis of Papillary Thyroid Carcinomas Based on Generalized Clustering Algorithm in Ultrasound Elastography von Huang, Weiqiang

“… In order to realize accurate segmentation of thyroid nodule in noisy environment, this paper proposes an improved segmentation algorithm based on adaptive fast generalized clustering …”
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A Novel Possibilistic Clustering Algorithm for Measurement Data of Vehicle MMW Radar von Wang, Tao, Wu, Shu, Cao, Lin, Du, Kangning, Zhao, Zongmin, He, ZhenXue

“… In this paper, we propose a new possibilistic clustering algorithm for this problem. The radar measurement dataset will contain a lot of information about stationary targets prior to cluster analysis …”
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Adaptive intrusion prevention algorithm based on HMM Model von Xiuqing, Chen, Yongping, Zhang, Yu, Guo

“… Hidden Markov Model (HMM) is a main time series model. In the implement of the intrusion prevention mechanism, the combination of fast adaptive clustering algorithm …”
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Superpixel Generation for SAR Imagery Based on Fast DBSCAN Clustering With Edge Penalty von Zhang, Liang, Lu, Shengtao, Hu, Canbin, Xiang, Deliang, Liu, Tao, Su, Yi

“… , fast pixel clustering and superpixel merging. In the clustering stage, we define a new adaptive pixel dissimilarity measure for SAR image and then optimize …”
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A modified multiple self-adaptive thresholds fast feature points extraction algorithm based on image gray clustering von Ying Ma, Lin Shi

“… This paper proposed an improved threshold algorithm based on gray clustering which is defined multiple self-adaptive thresholds algorithm …”
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HMM-based integration of multiple models for intrusion detection von Chen Xiuqing, Zhang Yongping, Tang Jiutao

“… In this paper, a novel intrusion detection system based on hidden Markov model, analyzing with Fast Adaptive Clustering Algorithm, combining the characteristic of dynamic adaption and sniffing …”
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Use of dynamic adaptive chemistry and dynamic cell clustering in computational fluid dynamics to accelerate calculation of combustion simulation of diesel engine von Feng, Shiquan, Zhang, Hongmei

“… Based on the theory of dynamic adaptive chemistry and dynamic cell clustering, a 3D model for fuel combustion in the cylinder is constructed to study the fast calculation algorithm to accelerate …”
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Superpixel Generation for SAR Image Based on Fast Clustering and Merging with Edge Penalty von Zhang, Liang, Xiang, Deliang, Liu, Tao, Su, Yi

“… ) image, which is implemented based on fast clustering and merging with edge penalty. The superpixel generation algorithm consists of two stages, i.e …”
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