Výsledky vyhledávání - "clustering algorithm"

Image Segmentation Using K -means Clustering Algorithm and Subtractive Clustering Algorithm Autor Dhanachandra, Nameirakpam, Manglem, Khumanthem, Chanu, Yambem Jina

“… There are different methods and one of the most popular methods is k-means clustering algorithm. K -means clustering algorithm is an unsupervised algorithm and it is used to segment the interest area from the background…”
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Unsupervised K-Means Clustering Algorithm Autor Sinaga, Kristina P., Yang, Miin-Shen

“…The k-means algorithm is generally the most known and used clustering method. There are various extensions of k-means to be proposed in the literature…”
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Sparse Subspace Clustering: Algorithm, Theory, and Applications Autor Elhamifar, E., Vidal, R.

“…Many real-world problems deal with collections of high-dimensional data, such as images, videos, text, and web documents, DNA microarray data, and more. Often,…”
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Dynamic evidential clustering algorithm Autor Zhang, Zuo-wei, Liu, Zhe, Martin, Arnaud, Liu, Zhun-ga, Zhou, Kuang

“…In this paper, a dynamic evidential clustering algorithm (DEC) is introduced to address the computational burden of existing methods…”
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A Novel Adaptive Fuzzy Local Information C -Means Clustering Algorithm for Remotely Sensed Imagery Classification Autor Zhang, Hua, Wang, Qunming, Shi, Wenzhong, Hao, Ming

“…This paper presents a novel adaptive fuzzy local information c-means (ADFLICM) clustering approach for remotely sensed imagery classification by incorporating…”
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DSets-DBSCAN: A Parameter-Free Clustering Algorithm Autor Hou, Jian, Gao, Huijun, Li, Xuelong

“…Clustering image pixels is an important image segmentation technique. While a large amount of clustering algorithms have been published and some of…”
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VDPC: Variational density peak clustering algorithm Autor Wang, Yizhang, Wang, Di, Zhou, You, Zhang, Xiaofeng, Quek, Chai

“…The widely applied density peak clustering (DPC) algorithm makes an intuitive cluster formation assumption that cluster centers are often surrounded by data…”
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Dynamic radius jet clustering algorithm Autor Mukhopadhyaya, Biswarup, Samui, Tousik, Singh, Ritesh K.

“… Current jet clustering algorithms, which use a fixed radius parameter for the formation of jets from the hadrons of an event, may be inadequate to capture the differing radius features…”
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New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks Autor Zhang, Degan, Ge, Hui, Zhang, Ting, Cui, Yu-Ya, Liu, Xiaohuan, Mao, Guoqiang

“…) by grouping the vehicle nodes. However, the existing clustering algorithms only consider the mobility of a vehicle when selecting the cluster head…”
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An Efficient Spectral Clustering Algorithm Based on Granular-Ball Autor Xie, Jiang, Kong, Weiyu, Xia, Shuyin, Wang, Guoyin, Gao, Xinbo

“…In order to solve the problem that the traditional spectral clustering algorithm is time-consuming and resource consuming when applied to large-scale data, resulting in poor clustering effect…”
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Real-Time Superpixel Segmentation by DBSCAN Clustering Algorithm Autor Shen, Jianbing, Hao, Xiaopeng, Liang, Zhiyuan, Liu, Yu, Wang, Wenguan, Shao, Ling

“…In this paper, we propose a real-time image superpixel segmentation method with 50 frames/s by using the density-based spatial clustering of applications with…”
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The MinMax k-Means clustering algorithm Autor Tzortzis, Grigorios, Likas, Aristidis

“…Applying k-Means to minimize the sum of the intra-cluster variances is the most popular clustering approach. However, after a bad initialization, poor local…”
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Unsupervised Hyperspectral Microscopic Image Segmentation Using Deep Embedded Clustering Algorithm Autor Ajay, P., Nagaraj, B., Kumar, R. Arun, Huang, Ruihang, Ananthi, P.

“…Hyperspectral microscopy in biology and minerals, unsupervised deep learning neural network denoising SRS photos: hyperspectral resolution enhancement and…”
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A Novel Evolutionary Kernel Intuitionistic Fuzzy C -means Clustering Algorithm Autor Lin, Kuo-Ping

“…This study proposes a novel evolutionary kernel intuitionistic fuzzy c-means clustering algorithm (EKIFCM…”
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Generalized black hole clustering algorithm Autor Saltos, Ramiro, Weber, Richard

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CACONET: Ant Colony Optimization (ACO) Based Clustering Algorithm for VANET Autor Aadil, Farhan, Bajwa, Khalid Bashir, Khan, Salabat, Chaudary, Nadeem Majeed, Akram, Adeel

“… The lifetime of clusters and number of CHs determines the efficiency of network. In this paper a Clustering algorithm based on Ant Colony Optimization (ACO) for VANETs (CACONET) is proposed…”
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NCM: Neutrosophic c-means clustering algorithm Autor Guo, Yanhui, Sengur, Abdulkadir

“…In this paper, a new clustering algorithm, neutrosophic c-means (NCM), is introduced for uncertain data clustering, which is inspired from fuzzy c-means and the neutrosophic set framework…”
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CADENCE: Clustering Algorithm─Density-Based Exploration and Novelty Clustering with Efficiency Autor Chen, Lexin, Roe, Daniel R, Miranda-Quintana, Ramón Alain

“…Unsupervised learning techniques play a pivotal role in unraveling protein folding landscapes, constructing Markov State Models, expediting replica exchange…”
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Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering Autor Lei, Tao, Jia, Xiaohong, Zhang, Yanning, He, Lifeng, Meng, Hongying, Nandi, Asoke K.

“…As fuzzy c-means clustering (FCM) algorithm is sensitive to noise, local spatial information is often introduced to an objective function to improve the…”
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Unsupervised Multi-View K-Means Clustering Algorithm Autor Yang, Miin-Shen, Hussain, Ishtiaq

“…) data had been extended for handling multi-view data, called multi-view KM (MV-KM). In the literature, most MV-KM clustering algorithms are reported to be influenced by initializations and also need a given number of clusters…”
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