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  • Search: subject:"Subspace Clustering"
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Year of publication
Subject
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Regional cluster 5 Regionales Cluster 5 Cluster analysis 4 Clusteranalyse 4 Subspace Clustering 4 Subspace clustering 3 Comparative Capitalism 2 Institutional Complementarity 2 Institutions 2 Models of Capitalism 2 Patchwork Capitalism 2 Academic Performance 1 Algorithm 1 Analytics 1 Artificial intelligence 1 Attributed graph 1 Bibliometrics 1 Bibliometrie 1 Business network 1 Capitalism 1 Cluster Similarity 1 Clustering ensemble 1 Comparative capitalism perspective 1 Data Mining 1 Dimension reduction 1 Eastern Europe 1 Evaluation Pattern 1 Features weighting 1 Forecasting model 1 Global information 1 Globalisierung 1 Globalization 1 High Dimensional Data 1 High Dimensional Data Sets 1 High-dimensional data 1 Information dissemination 1 Informationsverbreitung 1 Innovation 1 Innovation management 1 Innovationsmanagement 1
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Online availability
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Undetermined 8 Free 2
Type of publication
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Article 10
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Article 1
Language
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English 8 Undetermined 2
Author
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Czerniak, Adam 2 Rapacki, Ryszard 2 Bouveyron, Charles 1 Brunet-Saumard, Camille 1 Chen, Claire Yi-Ting 1 Choi, Jeongsub 1 Coh, Byoung-Youl 1 Fateh, Mansoor 1 Fatehi, Kavan 1 Jeong, Myong K. 1 Kelkar, Bhagyashri A. 1 Kim, Byunghoon 1 Kulkarni, Umakant P. 1 Lee, Jae-Min 1 Li, Jian 1 Lin, Yi-Bing 1 Miao, Wanyu 1 Minaei-Bidgoli, Behrouz 1 Nayagam, Chitra S. 1 Pajoohan, Mohammad-Reza 1 Parvin, Hamid 1 Paul, Dimple V. 1 Rezvani, Mohsen 1 Rodd, Sunil F. 1 Rodriguez, Andrew 1 Sun, Edward W. 1 Tosyali, Ali 1 Wang, Qiang 1 Yoshida, Taketoshi 1 Zhang, Wen 1
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Published in...
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Advances in Data Analysis and Classification 1 Computational Statistics & Data Analysis 1 Computers & operations research : and their applications to problems of world concern ; an international journal 1 European journal of operational research : EJOR 1 IEEE transactions on engineering management : EM 1 International Journal of Intelligent Information Technologies (IJIIT) 1 International Journal of Knowledge and Systems Science (IJKSS) 1 International Journal of Management and Economics 1 International journal of management and economics 1 Journal of information & knowledge management : JIKM 1
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Source
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ECONIS (ZBW) 5 RePEc 2 Other ZBW resources 2 EconStor 1
Showing 1 - 10 of 10
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Reconciling business analytics with graphically initialized subspace clustering for optimal nonlinear pricing
Chen, Claire Yi-Ting; Sun, Edward W.; Miao, Wanyu; Lin, … - In: European journal of operational research : EJOR 312 (2024) 3, pp. 1086-1107
Persistent link: https://www.econbiz.de/10014456469
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Emerging models of patchwork capitalism in Central and Eastern Europe: Empirical results of subspace clustering
Rapacki, Ryszard; Czerniak, Adam - In: International Journal of Management and Economics 54 (2018) 4, pp. 251-268
subspace clustering method was used, what allowed to take into account a vast set of 132 institutional measures and to analyze …
Persistent link: https://www.econbiz.de/10015192155
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Emerging models of patchwork capitalism in Central and Eastern Europe : empirical results of subspace clustering
Rapacki, Ryszard; Czerniak, Adam - In: International journal of management and economics 54 (2018) 4, pp. 251-268
subspace clustering method was used, what allowed to take into account a vast set of 132 institutional measures and to analyze …
Persistent link: https://www.econbiz.de/10012027187
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RP-LGMC : rating prediction based on local and global information with matrix clustering
Zhang, Wen; Wang, Qiang; Yoshida, Taketoshi; Li, Jian - In: Computers & operations research : and their … 129 (2021), pp. 1-16
Persistent link: https://www.econbiz.de/10012494765
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A novel parameter-light subspace clustering technique based on single linkage method
Kelkar, Bhagyashri A.; Rodd, Sunil F.; Kulkarni, Umakant P. - In: Journal of information & knowledge management : JIKM 18 (2019) 1, pp. 1950007-1-1950007-23
Persistent link: https://www.econbiz.de/10012027162
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Subspace Clustering for High-Dimensional Data Using Cluster Structure Similarity
Fatehi, Kavan; Rezvani, Mohsen; Fateh, Mansoor; … - In: International Journal of Intelligent Information … 14 (2018) 3, pp. 38-55
amount of research has been conducted on subspace clustering aiming at discovering clusters embedded in any possible … attributes combination. The main goal of subspace clustering algorithms is to find all clusters in all subspaces. Previous … structure serves as a similarity measure to generate the optimal subspaces which result in raising the accuracy of the subspace …
Persistent link: https://www.econbiz.de/10012045524
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Use of Subspace Clustering Algorithm for Students' Competency and Subject Knowledge Assessment
Paul, Dimple V.; Nayagam, Chitra S. - In: International Journal of Knowledge and Systems Science … 9 (2018) 2, pp. 70-83
Student performance studies are the primary challenge for any course with continuous assessment. The challenge lies in performing validation tests of whether course objectives are being met and also in identifying areas of the course structure that needs improvement. This article identifies...
Persistent link: https://www.econbiz.de/10012046370
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Patent clustering and outlier ranking methodologies for attributed patent citation networks for technology opportunity discovery
Rodriguez, Andrew; Tosyali, Ali; Kim, Byunghoon; Choi, … - In: IEEE transactions on engineering management : EM 63 (2016) 4, pp. 426-437
Persistent link: https://www.econbiz.de/10011614032
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Model-based clustering of high-dimensional data: A review
Bouveyron, Charles; Brunet-Saumard, Camille - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 52-78
-based clustering, dimension reduction approaches, regularization-based techniques, parsimonious modeling, subspace clustering methods …
Persistent link: https://www.econbiz.de/10010719687
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A clustering ensemble framework based on elite selection of weighted clusters
Parvin, Hamid; Minaei-Bidgoli, Behrouz - In: Advances in Data Analysis and Classification 7 (2013) 2, pp. 181-208
Each clustering algorithm usually optimizes a qualification metric during its progress. The qualification metric in conventional clustering algorithms considers all the features equally important; in other words each feature participates in the clustering process equivalently. It is obvious that...
Persistent link: https://www.econbiz.de/10010680642
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