Výsledky vyhľadávania - clustering algorithms

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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Multi-view neutrosophic c-means clustering algorithms Autor Liu, Zhe, Qiu, Haoye, Deveci, Muhammet, Pedrycz, Witold, Siarry, Patrick

“… However, existing multi-view clustering algorithms still encounter challenges since most multi-view data do not exhibit clear cluster boundaries, meaning cluster boundaries may locally overlap…”
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Density peak clustering algorithms: A review on the decade 2014–2023 Autor Wang, Yizhang, Qian, Jiaxin, Hassan, Muhammad, Zhang, Xinyu, Zhang, Tao, Yang, Chao, Zhou, Xingxing, Jia, Fengjin

“…Density peak clustering (DPC) algorithm has become a well-known clustering method during the last decade, The research communities believe that DPC is a powerful tool applied to various fields underlying distinct contemporary…”
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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

“… patterns, among other applications. A fundamental challenge in current clustering methods lies in how similarities among objects are accessed…”
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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 the local spatial and gray level information constraints…”
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Data Clustering: Algorithms and Applications Autor Aggarwal, Charu C., Reddy, Chandan K.

“…In this book, top researchers from around the world cover the entire area of clustering, from basic methods to more refined and complex data clustering approaches…”
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Space–time series clustering: Algorithms, taxonomy, and case study on urban smart cities Autor Belhadi, Asma, Djenouri, Youcef, Nørvåg, Kjetil, Ramampiaro, Heri, Masseglia, Florent, Lin, Jerry Chun-Wei

“…This paper provides a short overview of space–time series clustering, which can be generally grouped into three main categories…”
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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.

“… An intuitive chemical species map for a lithium ore sample is produced using k-means clustering…”
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Clustering algorithms for Stokes space modulation format recognition Autor Boada, Ricard, Borkowski, Robert, Monroy, Idelfonso Tafur

“… A crucial part of the Stokes MFR is a clustering algorithm, which largely influences the performance of the detection process, particularly at low signal-to-noise ratios…”
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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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On Density-Based Data Streams Clustering Algorithms： A Survey Autor Amini, Amineh, Wah, Teh Ying, Saboohi, Hadi

“…Clustering data streams has drawn lots of attention in the last few years due to their ever-growing presence…”
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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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On Evaluation of Data Stream Clustering Algorithms: A Survey Autor Nordahl, Christian, Boeva, Veselka, Grahn, Hakan, Persson-Netz, Marie

“… An open question in stream clustering is how to evaluate the proposed algorithms. In this survey, we review the literature in the domain to identify common methodologies, datasets, and evaluation measures, used to evaluate the algorithms…”
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An enhanced principal component analysis method with Savitzky–Golay filter and clustering algorithm for sensor fault detection and diagnosis Autor Wen, Shuqing, Zhang, Weirong, Sun, Yifu, Li, Zhenxi, Huang, Boju, Bian, Shouguo, Zhao, Lin, Wang, Yan

“…) method using the Savitzky–Golay (SG) filter and density-based spatial clustering of applications with noise (DBSCAN) algorithm…”
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Double-suppressed possibilistic fuzzy Gustafson–Kessel clustering algorithm Autor Yu, Haiyan, Jiang, Lerong, Fan, Jiulun, Lan, Rong

“…Possibilistic fuzzy c-means clustering (PFCM) is an unsupervised hybrid clustering algorithm, which can partly inherit the stability of fuzzy c-means clustering (FCM…”
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Self-paced Learning for K-means Clustering Algorithm Autor Yu, Hao, Wen, Guoqiu, Gan, Jiangzhang, Zheng, Wei, Lei, Cong

“…•Propose a novel clustering algorithm by adding the self-paced regularization factor…”
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IoVSSA: Efficient Mobility Aware Clustering Algorithm in Internet of Vehicles using Sparrow Search Algorithm Autor Salim, Ahmed, Khedr, Ahmed M., Osamy, Walid

“… In this sight, we propose a new clustering algorithm based on the recent nature-inspired meta-heuristic Sparrow Search algorithm for IoV (IoVSSA…”
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An efficient k′-means clustering algorithm Autor Žalik, Krista Rizman

“…This paper introduces k′-means algorithm that performs correct clustering without pre-assigning the exact number of clusters…”
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MMCo-Clus - An Evolutionary Co-clustering Algorithm for Gene Selection Autor Cui, Laizhong, Acharya, Sudipta, Mishra, Sumit, Pan, Yi, Huang, Joshua Zhexue

“… Interestingly, a minimal number of existing feature selection algorithms take advantage of the co-clustering method and are designed to consider multi-view data…”
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Gauging- \deltaδ: A Non-Parametric Hierarchical Clustering Algorithm Autor Yao, Jinli, Pan, Jie, Zeng, Yong

“…The development of a nonparametric and versatile clustering algorithm has been a longstanding challenge in unsupervised learning due to the exploratory nature of the clustering problem…”
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