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Добірка наукової літератури з теми "View cluster"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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Статті в журналах з теми "View cluster"

1

Liu, Jing, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, and Jiye Liang. "A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (2020): 4860–67. http://dx.doi.org/10.1609/aaai.v34i04.5922.

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Clustering by jointly exploiting information from multiple views can yield better performance than clustering on one single view. Some existing multi-view clustering methods aim at learning a weight for each view to determine its contribution to the final solution. However, the view-weighted scheme can only indicate the overall importance of a view, which fails to recognize the importance of each inner cluster of a view. A view with higher weight cannot guarantee all clusters in this view have higher importance than them in other views. In this paper, we propose a cluster-weighted kernel k-mea

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2

Yin, Jun, Shiliang Sun, Lai Wei, and Pei Wang. "Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 15 (2024): 16478–85. http://dx.doi.org/10.1609/aaai.v38i15.29585.

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Multi-view K-means clustering successfully generalizes K-means from single-view to multi-view, and obtains excellent clustering performance. In every view, it makes each data point close to the center of the corresponding cluster. However, multi-view K-means only considers the compactness of each cluster, but ignores the separability of different clusters, which is of great importance to producing a good clustering result. In this paper, we propose Discriminatively Fuzzy Multi-view K-means clustering with Local Structure Preserving (DFMKLS). On the basis of minimizing the distance between each

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3

Zhang, Lixiang, Lin Lin, and Jia Li. "Multi-view clustering by CPS-merge analysis with application to multimodal single-cell data." PLOS Computational Biology 19, no. 4 (2023): e1011044. http://dx.doi.org/10.1371/journal.pcbi.1011044.

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Multi-view data can be generated from diverse sources, by different technologies, and in multiple modalities. In various fields, integrating information from multi-view data has pushed the frontier of discovery. In this paper, we develop a new approach for multi-view clustering, which overcomes the limitations of existing methods such as the need of pooling data across views, restrictions on the clustering algorithms allowed within each view, and the disregard for complementary information between views. Our new method, called CPS-merge analysis, merges clusters formed by the Cartesian product

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4

Wang, Xueyi, Lele Zhang, Zheng Fan, Yang Liu, Chen Chen, and Fang Deng. "From Coarse to Fine: A Matching and Alignment Framework for Unsupervised Cross-View Geo-Localization." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 8 (2025): 8024–32. https://doi.org/10.1609/aaai.v39i8.32865.

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Cross-view geo-localization aims at determining the geographic location of a query image by matching the reference images. The matching pairs can be captured from diverse perspectives, such as those from satellites and drones. Most existing methods are supervised that require input of location-labeled images or matched and unmatched image pairs for training, resulting in high labor costs. Moreover, current unsupervised methods perform instances matching directly between different perspectives with dramatic discrepancies, resulting in poor performance. To address these issues, this paper propos

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5

Su, Peng, Shudong Huang, Weihong Ma, Deng Xiong, and Jiancheng Lv. "Multi-view Granular-ball Contrastive Clustering." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 19 (2025): 20637–45. https://doi.org/10.1609/aaai.v39i19.34274.

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Previous multi-view contrastive learning methods typically operate at two scales: instance-level and cluster-level. The former generally constructs positive and negative pairs based on the correspondence between samples and view instances. These methods aim to bring positive pairs closer and push negative pairs further apart in the latent space. This kind of approaches has the drawback of inevitably introducing false negatives in an unsupervised setting, leading to reduced model discriminability. The latter usually involves calculating cluster assignments for samples under each view and maximi

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6

Lee, Seong-Kook, Myungshin Im, Eunhee Ko, et al. "Star-formation Property of High Redshift Galaxies in Clusters: Perceptive View from Observation and Simulation." Proceedings of the International Astronomical Union 17, S373 (2021): 260–63. http://dx.doi.org/10.1017/s1743921322004409.

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AbstractThe evolution of star formation properties of galaxies depends on the environment where galaxies reside, and generally star formation of galaxies in dense environment decreases more quickly. Interestingly, the star formation property of high-redshift galaxies clusters vary largely even though they are at similar redshift. We have found that the large-scale environment surrounding each galaxy cluster can contribute to make this cluster-by-cluster variation. This correlation is found in the results from observational data as well as in the simulations of galaxy formation. We suggest the

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7

Castellanos, Raúl, Francisco Najarro, Miriam Garcia, et al. "An infrared view of NGC3603." Proceedings of the International Astronomical Union 18, S361 (2022): 97–99. http://dx.doi.org/10.1017/s174392132200196x.

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AbstractNGC3603 is one of the youngest massive clusters of the Milky Way which uniquely enables studying the interplay between massive star feedback and the surrounding interstellar medium. Yet, a deep infrared (IR) view of the cluster is missing. We present guaranteed time observations of NGC3603 consisting of near infrared spectroscopy taken with VLT-KMOS. This data set will provide a first, rather complete IR census.

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8

Rines, Kenneth J., Jubee Sohn, Margaret J. Geller, and Antonaldo Diaferio. "A Spectroscopic View of the JWST/GTO Strong Lensing Cluster A1489." Astrophysical Journal 930, no. 2 (2022): 156. http://dx.doi.org/10.3847/1538-4357/ac67a8.

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Abstract We discuss a spectroscopic survey of the strong lensing cluster A1489 that includes redshifts for 195 cluster members along with central velocity dispersions for 188 cluster members. The caustic technique applied to the redshift survey gives the dynamical parameters M 200 = (1.25 ± 0.09) × 1015 M ⊙, R 200 = 1.97 ± 0.05 Mpc, and a cluster line-of-sight velocity dispersion of 1150 ± 72 km s−1 within R 200. These parameters are very similar to those of other strong lensing systems with comparably large Einstein radii. We use the spectroscopy and deep photometry to demonstrate that A1489

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9

Suprihadi, Suprihadi, Rini Kartika Hudiono, and Lina Sinatra Wijaya. "Rancang Bangun Sistem Jejaring Klaster Berbasis Web Menggunakan Metode Model View Controller." CCIT Journal 6, no. 3 (2013): 308–31. http://dx.doi.org/10.33050/ccit.v6i3.359.

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Cluster in Indonesia particularly in the area of Central Java in 2010 totaled 150. Based on the results of the survey in Demak, Wonosobo and Pemalang, most Clusters does not yet have a website as a media product promotion and Cluster communication. Some Cluster already leverages media Blog and facebook but the media still do not meet the expected needs because media Blog and Facebook are not a media for product promotion. This is because the limitations of cost and the scarcity of skilled human resources information technology owned by the Cluster. Therefore, this research was conducted on the

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10

Ragone-Figueroa, C., G. L. Granato, S. Borgani, et al. "Evolution and role of mergers in the BCG–cluster alignment. A view from cosmological hydrosimulations." Monthly Notices of the Royal Astronomical Society 495, no. 2 (2020): 2436–45. http://dx.doi.org/10.1093/mnras/staa1389.

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ABSTRACT Contradictory results have been reported on the time evolution of the alignment between clusters and their brightest cluster galaxy (BCG). We study this topic by analysing cosmological hydrosimulations of 24 massive clusters with $M_{200}|_{z=0} \gtrsim 10^{15}\, \rm {\, M_{\odot }}$, plus 5 less massive with $1 \times 10^{14} \lesssim M_{200}|_{z=0} \lesssim 7 \times 10^{14}\, \rm {\, M_{\odot }}$, which have already proven to produce realistic BCG masses. We compute the BCG alignment with both the distribution of cluster galaxies and the dark matter (DM) halo. At redshift z = 0, the

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Дисертації з теми "View cluster"

1

Popescu, Bogdan. "MASSCLEAN - MASSive CLuster Evolution and ANalysis Package - A New Tool for Stellar Clusters." University of Cincinnati / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1276526207.

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2

McCarthy, Deborah A. "Synthesis, characterization, and reactivity studies of a tetraruthenium boride cluster and a hexaruthenium cluster : conversions to a hexaruthenium boride cluster /." The Ohio State University, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=osu148768520496931.

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3

Rafferty, David A. "Feedback in Cluster Cores." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1186765820.

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4

Zu, Ying. "Cross-Correlation Cluster Cosmology." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1376958777.

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5

Gebauer, Denis. "A novel view on the early stage of crystallization." Phd thesis, Universität Potsdam, 2008. http://opus.kobv.de/ubp/volltexte/2008/1981/.

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This thesis provides a novel view on the early stage of crystallization utilizing calcium carbonate as a model system. Calcium carbonate is of great economical, scientific and ecological importance, because it is a major part of water hardness, the most abundant Biomineral and forms huge amounts of geological sediments thus binding large amounts of carbon dioxide. The primary experiments base on the evolution of supersaturation via slow addition of dilute calcium chloride solution into dilute carbonate buffer. The time-dependent measurement of the Ca2+ potential and concurrent pH = constant ti

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6

Jan, Deng-Yang. "Syntheses and reactivity of cluster systems derived from unsaturated cluster ([mu]-H)̳2Os̳3(CO)̳1̳0 /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487263399024287.

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7

Wu, Shu-Pao. "Iron-sulfur cluster biosynthesis. Iron-sulfur cluster transfer from Holo ISU and ISA to Apo Fd." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1078866123.

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8

Wu, Shu-Pao. "Iron-sulfur cluster biosynthesis. Iron-sulfur cluster transfer from holo ISU and ISA to apo ferredoxin." Connect to this title online, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1078866123.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Title from first page of PDF file. Document formatted into pages; contains xx, 161 p.; also includes graphics Includes bibliographical references (p. 153-161). Available online via OhioLINK's ETD Center

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9

Peery, Tyler Robert. "The Use of Brightest Cluster Galaxies as Standard Candles Since z~1." Ohio University Art and Sciences Honors Theses / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ouashonors1276623279.

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10

Khan, Preoyati. "Cluster Based Image Processing for ImageJ." Kent State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=kent1492164847520322.

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Книги з теми "View cluster"

1

Plionis, Manolis, David Hughes, and Omar López-Cruz. A Pan-Chromatic View of Clusters of Galaxies and the Large-Scale Structure. Springer Science+Business Media B.V, 2008.

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2

1957-, Kaastra Jelle Sjerp, ed. Clusters of galaxies: Beyond the thermal view. Springer, 2008.

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3

L, Martin Roger, and Institute for Competitiveness and Prosperity., eds. A view of Ontario: Ontario's clusters of innovation. The Institute, 2002.

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4

Christensen, Kirsten Elvira. Open-framework germanates: Crystallography, structures and cluster building units. Department of Physical, Inorganic and Structural Chemistry, Stockholm university, 2008.

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5

Plionis, Manolis, David Hughes, and Omar López-Cruz, eds. A Pan-Chromatic View of Clusters of Galaxies and the Large-Scale Structure. Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6941-3.

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6

1978-, Li Shijie, ed. Chan ye ji qun zu zhi fen xi: Research to the industrial clusters based on organizational view. Jing ji guan li chu ban she, 2007.

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7

1978-, Li Shijie, ed. Chan ye ji qun zu zhi fen xi: Research to the industrial clusters based on organizational view. Jing ji guan li chu ban she, 2007.

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8

1978-, Li Shijie, ed. Chan ye ji qun zu zhi fen xi: Research to the industrial clusters based on organizational view. Jing ji guan li chu ban she, 2007.

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9

SME Cluster Development: A Dynamic View of Survival Clusters in Developing Countries. Palgrave Macmillan, 2007.

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10

Parrilli, Mario Davide. Sme Cluster Development: A Dynamic View of Survival Clusters in Developing Countries. Palgrave Macmillan, 2007.

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Частини книг з теми "View cluster"

1

Bezdek, James C. "Clusters: The Human Point of View (HPOV)." In Elementary Cluster Analysis. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338086-2.

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2

Bezdek, James C. "Clusters: The Computer Point of View (CPOV)." In Elementary Cluster Analysis. River Publishers, 2022. http://dx.doi.org/10.1201/9781003338086-4.

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3

Rawashdeh, Mohammad, and Anca Ralescu. "A Pairwise Distance View of Cluster Validity." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31709-5_57.

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4

Asikainen, T. "Energetic Particles in the Cusp: A Cluster/RAPID View." In Astrophysics and Space Science Proceedings. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3499-1_29.

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5

Kaya, Heysem, Olcay Kurşun, and Hüseyin Şeker. "Stacking Class Probabilities Obtained from View-Based Cluster Ensembles." In Artificial Intelligence and Soft Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13208-7_50.

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6

Welther, Barbara L. "Harlow Shapley: A View from the Harvard Archives." In The Harlow-Shapley Symposium on Globular Cluster Systems in Galaxies. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-015-1104-9_68.

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7

Shang, Haifeng, Jiaqi Zhang, Wenguang Chen, Weimin Zheng, and Zhiyi Huang. "Performance Evaluation of View-Oriented Parallel Programming on Cluster of Computers." In High Performance Computing and Communications. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75444-2_17.

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8

Bate, Matthew R., Ian A. Bonnell, and Volker Bromm. "The Formation of a Cluster of Stars and Brown Dwarfs in a Turbulent Molecular Cloud." In The Origins of Stars and Planets: The VLT View. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-40277-1_18.

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9

Tian, Chunna, Xinbo Gao, and Jie Li. "Active Learned Multi-view Face Detection Tree Using Fuzzy Cluster Validity Analysis." In Fuzzy Systems and Knowledge Discovery. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881599_100.

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10

Zhao, Weinan, Dingwen Zhang, Lei Li, et al. "Cooperative Target Localization of Aircraft Cluster Based on Multi-view Image Information Fusion." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-2216-0_53.

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Тези доповідей конференцій з теми "View cluster"

1

Pattnaik, Anup, Cijo George, Rishabh Kumar Tripathi, Sasanka Vutla, and Jithendra Vepa. "Improving Hierarchical Text Clustering with LLM-guided Multi-view Cluster Representation." In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.emnlp-industry.54.

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2

Wang, Xingyue, Huazhong Liu, Jihong Ding, and Peng Tan. "Multi-view Negative-Free Contrastive Learning on Adaptive Graph Augmentation." In 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid). IEEE, 2024. http://dx.doi.org/10.1109/ccgrid59990.2024.00041.

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3

Avans, C. Nicole, Jan Ciesko, Carl Pearson, Evan Drake Suggs, Stephen L. Olivier, and Anthony Skjellum. "Performance Insights Into Supporting Kokkos Views in the Kokkos Comm MPI Library." In 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops). IEEE, 2024. http://dx.doi.org/10.1109/clusterworkshops61563.2024.00051.

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4

Ren, Pengzhen, Yun Xiao, Pengfei Xu, et al. "Robust Auto-Weighted Multi-View Clustering." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/367.

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Multi-view clustering has played a vital role in real-world applications. It aims to cluster the data points into different groups by exploring complementary information of multi-view. A major challenge of this problem is how to learn the explicit cluster structure with multiple views when there is considerable noise. To solve this challenging problem, we propose a novel Robust Auto-weighted Multi-view Clustering (RAMC), which aims to learn an optimal graph with exactly k connected components, where k is the number of clusters. ℓ1-norm is employed for robustness of the proposed algorithm. We h

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5

Dun, Nan, Hajime Fujita, Aiman Fang, et al. "Flexible Error Recovery Using Versions in Global View Resilience." In 2015 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2015. http://dx.doi.org/10.1109/cluster.2015.88.

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6

Isaila and Tichy. "View I/O: improving the performance of non-contiguous I/O." In Proceedings IEEE International Conference on Cluster Computing CLUSTR-03. IEEE, 2003. http://dx.doi.org/10.1109/clustr.2003.1253332.

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7

Midorikawa, Hiroko, Kenji Kitagawa, and Yugo Sakaguchi. "mSMS: PGAS Runtime with Efficient Thread-based Communication for Global-view Programming." In 2019 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2019. http://dx.doi.org/10.1109/cluster.2019.8891009.

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8

Gusmão, Renê, Allan Juan Araújo, and Francisco Carvalho. "A distributed approach to cluster multi-view relational data." In Congresso Brasileiro de Inteligência Computacional. SBIC, 2024. http://dx.doi.org/10.21528/cbic2023-098.

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Clustering of multi-view data has become an important research field. The efficient clustering of multi-view data is a challenging problem. This work aimed to investigate a distributed approach to cluster multi-view relational data. A PSO-based hybrid method was used to generate clustering from all views independently. Five different objective functions were explored to induce diversity to the clusterings since each function looks for different cluster structures. Five different consensus functions were compared to produce the final partition from the ensembles. Three multi-view real-world dat

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9

Liu, Zhen, Qiong Liu, You Yang, Yuchi Liu, Gangyi Jiang, and Mei Yu. "Cluster-based cross-view filtering for compressed multi-view depth maps." In 2016 Visual Communications and Image Processing (VCIP). IEEE, 2016. http://dx.doi.org/10.1109/vcip.2016.7805550.

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10

Baumert, T., R. Thalweiser, V. Weiss, E. Wiedenmann, and G. Gerber. "Femtosecond Dynamics of Nan and Hgn Metal-Cluster." In International Conference on Ultrafast Phenomena. Optica Publishing Group, 1994. http://dx.doi.org/10.1364/up.1994.thb.4.

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In recent years clusters and in particular metal clusters have been the fascinating subject of many experimental and theoretical studies. Cluster physics bridge the gap between molecular physics and solid state physics. Metal clusters exhibit distinct features ranging from molecular properties seen in small particles to solid state like behaviour of large aggregates. We report cluster size dependent studies of physical and chemical properties such as absorption resonances, lifetimes, decay channels and ionisation processes of the one- and two electron metal clusters Nan and Hgn. For these stud

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Звіти організацій з теми "View cluster"

1

Canto, Patricia, ed. Comparing Cluster Policies: An Analytical Framework. Universidad de Deusto, 2014. http://dx.doi.org/10.18543/sxfs1903.

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This working paper is a part of the dissertation research and is determined to outline and deliver key triggers of a successful regional cluster policy. It first makes a broad reflection on the theory of cluster and cluster policy concepts and subsequently focuses on elaboration of an analytical scheme for policy analysis. The development of the framework is proceeded into two steps, first of all the stages of cluster policy process are defined. After that key factors affecting policy building are selected from various existing theoretical and practical cluster policy cases and later on attrib

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2

Canto, Patricia, ed. Role of external knowledge flows in cluster upgrading: an empirical analysis of the Mirandola biomedical district in Italy. Universidad de Deusto, 2011. http://dx.doi.org/10.18543/ktvl7919.

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The paper analyses the role of external knowledge flows in the upgrading of the biomedical district of Mirandola, Emilia-Romagna region, in Italy. The district produces two types of products, namely disposables and electromedical machines, and the paper considers this second production type. The Mirandola district has been able to maintain a relatively good competitive position. The paper shows that while all firms in this sector in this region tend to have fairly good performance in terms of size and revenue growth, a significant difference exists in terms of innovation performance. Firms in

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Toney, Autumn, and Melissa Flagg. Comparing the United States' and China's Leading Roles in the Landscape of Science. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20210020.

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Using CSET’s new Map of Science to examine clusters of research publications, this data brief presents a comparative analysis of U.S. and Chinese research publication outputs. The authors find that global competition outcomes differ depending on the level of granularity when comparing research publication data. In a granular view of global scientific research, the United States and China together dominate almost two-thirds of the research publication output, with the rest of the world leading in more than one-third of publication output. In a general view of global scientific research, only Ch

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Sanginés, Jorge Carreto, Margherita Russo, and Annamaria Simonazzi. Mexico’s Automotive Industry: A Success Story? Institute for New Economic Thinking Working Paper Series, 2021. http://dx.doi.org/10.36687/inetwp166.

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largest world producer of automotive vehicles. The Mexican experience is part of the more general case of the “integrated peripheries.” The development of these cannot be accounted for separately from the developments occurring in its core country. Unlike the core-periphery literature, however, our analysis emphasizes that the various clusters of cores and integrated peripheries are not alike. In the case under study, the core has been systematically lagging behind the main transformations pioneered by its competitors. The paper traces the evolution of the Mexican automotive industry, emphasiz

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Chioda, Laura, Paul Gertler, and Nicole Perales. Empowering Women: Teaching Leadership Skills to Youth in Uganda. Centre for Excellence and Development Impact and Learning (CEDIL), 2023. http://dx.doi.org/10.51744/crpp10.

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Empowering adolescent girls through education has become a priority among numerous stakeholder. However, recent evidence suggests that education alone may not be suffcient if women remain in a low-empowerment equilibrium and face internal constraints as they relate to aspirations, self-efficacy, leadership, and other life (soft) skills. We study the long-term impacts of a school-based upper-secondary intervention, the Educate! Experience, designed to enhance adolescents’ leadership and social entrepreneurship skills in Uganda. The program was implemented as a cluster randomized controlled tria

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Turner, Nigel E., Nicolas Trajtenberg, Steve Cook, Olga Sanchez de Ribera, Jing Shi, and Henrietta Bowden-Jones. A health inequality examination of problem gambling, substance abuse, mental health, and poverty in the United Kingdom; A secondary analysis and stakeholder interviews. Greo Evidence Insights, 2023. https://doi.org/10.33684/2024.003.

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Purpose: This project is focused on the social determinants of health associated with problem gambling and examined gambling-related disparities and the determinants of negative health outcomes. Social determinants include social class education, ethnic group, age, and sex (Elton-Marshall, et al., 2017). The main aims of the study were as follows: Aim 1: In this study, we used the large data set to determine subpopulations who are experiencing social inequity (e.g., youth, older adults, women, Black people and other minority ethnic groups, and people with low income; see Elton-Marshall, et al.

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