Výsledky vyhledávání - "Spectral clustering algorithm"

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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Interpretable building energy consumption forecasting using spectral clustering algorithm and temporal fusion transformers architecture Autor Zheng, Peijun, Zhou, Heng, Liu, Jiang, Nakanishi, Yosuke

“…Accurate building energy consumption forecasting is crucial for developing efficient building energy management systems, improving energy efficiency, and local…”
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Text document clustering using Spectral Clustering algorithm with Particle Swarm Optimization Autor Janani, R., Vijayarani, S.

“…•An automatic text clustering framework for handling unstructured documents.•Spectral Clustering algorithm SCPSO is proposed based on Particle Swarm Optimization…”
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Spectral Clustering Algorithm for the Allometric Extension Model: Spectral Clustering Algorithm Autor Kawamoto, Kohei, Goto, Yuichi, Tsukuda, Koji

“…The spectral clustering algorithm is often used as a binary clustering method for unclassified data by applying the principal component analysis…”
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A multiway p-spectral clustering algorithm Autor Ding, Shifei, Cong, Lin, Hu, Qiankun, Jia, Hongjie, Shi, Zhongzhi

“…The original p-spectral clustering algorithm can obtain more balanced clustering results by introducing p-Laplacian operator…”
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An efficient Nyström spectral clustering algorithm using incomplete Cholesky decomposition Autor Jia, Hongjie, Wang, Liangjun, Song, Heping, Mao, Qirong, Ding, Shifei

“…•Incomplete Cholesky decomposition is introduced to accelerate Nyström approximation.•An efficient Nyström spectral clustering algorithm called ICD-NSC is proposed…”
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Quantum spectral clustering algorithm for unsupervised learning Autor Li, Qingyu, Huang, Yuhan, Jin, Shan, Hou, Xiaokai, Wang, Xiaoting

“…Clustering is one of the most crucial problems in unsupervised learning, and the well-known k -means algorithm can be implemented on a quantum computer with a…”
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Spectral clustering algorithm for real‐time endpoint detection of silicon nitride plasma etching Autor Lee, Seonghyeon, Choi, Hojun, Kim, Jaehyeon, Chae, Heeyeop

“…The spectral clustering algorithm (SCA) is developed for endpoint detection (EPD) of Si3N4 plasma etching using optical emission spectroscopy…”
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Corrigendum to “Multi-view Spectral Clustering Algorithm Based on Bipartite Graph and Multi-feature Similarity Fusion” [Neural Networks, 194 (2026), 108177] Autor Li, Shunyong, Liu, Kun, Zheng, Mengjiao, Bai, Liang

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Development of Spectral Clustering Algorithm in Cognitive Diagnosis Model: Approach for Student’s Psychological Growth Autor Chang, Xiao

“…With the development of intelligent education, the diagnostic performance of the traditional cognitive diagnostic model has been unable to meet the needs of…”
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Multi-view spectral clustering algorithm based on bipartite graph and multi-feature similarity fusion Autor Li, Shunyong, Liu, Kun, Zheng, Mengjiao, Bai, Liang

“… To overcome these limitations, we propose a unified Multi-view Spectral Clustering algorithm based on Bipartite Graph and Multi-feature Similarity Fusion (BG-MFS…”
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A self-adjusting spectral clustering algorithm: A self-adjusting spectral Autor Allem, Luiz Emilio, Hoppen, Carlos, Sibemberg, Lucas Siviero

“…We introduce a new similarity measure for spectral clustering which produces an algorithm with input given by a data set and by the desired number of clusters…”
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L-ASCRA: A Linearithmic Time Approximate Spectral Clustering Algorithm Using Topologically-Preserved Representatives Autor Khan, Abdul Atif, Akhter, Mohammad Maksood, Maheshwari, Rashmi, Mohanty, Sraban Kumar

“…Approximate spectral clustering (ASC) algorithms work on the representative points of the data for discovering intrinsic groups. The existing ASC methods…”
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A self-adjusting spectral clustering algorithm Autor Allem, Luiz Emilio, Hoppen, Carlos, Sibemberg, Lucas Siviero

“…We introduce a new similarity measure for spectral clustering which produces an algorithm with input given by a data set and by the desired number of clusters…”
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An optimal allocation method for power distribution network partitions based on improved spectral clustering algorithm Autor Pan, Li, Han, Zhang, Shanshan, Zhao, Feng, Wang

“…Distribution network nodes are numerous and monitoring devices are widely distributed. All monitoring data are uploaded to the cloud master for centralized…”
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A semi-supervised approximate spectral clustering algorithm based on HMRF model Autor Ding, Shifei, Jia, Hongjie, Du, Mingjing, Xue, Yu

“…Before clustering, we usually have some background knowledge about the data structure. Pairwise constraints are commonly used background knowledge. For graph…”
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Aerosol classification by application of machine learning spectral clustering algorithm Autor Ningombam, Shantikumar S., Larson, E.J.L., Indira, G., Madhavan, B.L., Khatri, Pradeep

“…) and utilized a multivariate spectral clustering algorithm, a machine learning tool, to classify global aerosols…”
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KNN-SC: Novel Spectral Clustering Algorithm Using k-Nearest Neighbors Autor Kim, Jeong-Hun, Choi, Jong-Hyeok, Park, Young-Ho, Leung, Carson Kai-Sang, Nasridinov, Aziz

“… In this study, we propose a robust spectral clustering algorithm known as KNN-SC that can discover exact clusters by decreasing the influence of noise points…”
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Spectral Clustering Algorithm for the Allometric Extension Model Autor Kawamoto, Kohei, Goto, Yuichi, Tsukuda, Koji

“…The spectral clustering algorithm is often used as a binary clustering method for unclassified data by applying the principal component analysis…”
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Spectral Clustering Algorithm for Cognitive Diagnostic Assessment Autor Guo, Lei, Yang, Jing, Song, Naiqing

“… In this paper, according to their responses, we introduce a spectral clustering algorithm (SCA) to cluster examinees…”
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