Search Results - "Determining the number of clusters in a data set"
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Source: Journal of Classification. 37:558-583
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences
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File Description: 1 online resource (viii, 60 pages) : illustration
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Source: Multivariate Behavioral Research. 1992 27(4):541-565.
Peer Reviewed: Y
Page Count: 25
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Source: IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222). 3:1852-1857
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Access URL: https://ieeexplore.ieee.org/document/938445/
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Source: Multivariate Behavioral Research. 27:541-565
Subject Terms: 0504 sociology, 05 social sciences, 0101 mathematics, 01 natural sciences
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Subject Terms: number of clusters, computer algorithm, mean shift method, cluster analysis
File Description: application/pdf
Access URL: https://hdl.handle.net/11089/16838
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Authors: Yan, Mingjin
Thesis Advisors: Statistics, Ye, Keying, Prins, Samantha C. Bates, Spitzner, Dan J., Smith, Eric P.
Subject Terms: Gap statistic, Multi-layer clustering, DD-weighted gap statistic, Cluster analysis, Weighted gap statistic, Number of clusters, K-means clustering
File Description: application/pdf
Relation: Proposal-Face.pdf
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Authors: André Hardy
Source: Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783540584254
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Source: Journal of Classification. Oct2020, Vol. 37 Issue 3, p558-583. 26p.
Subject Terms: *Algorithms, Industrial clusters, Model validation
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Authors: Hardy, André
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Source: Psychometrika. 50:159-179
Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Access URL: https://econpapers.repec.org/RePEc:spr:psycho:v:50:y:1985:i:2:p:159-179
https://psycnet.apa.org/record/1985-27071-001
https://rd.springer.com/article/10.1007/bf02294245
https://ci.nii.ac.jp/naid/30017109040
https://link.springer.com/article/10.1007%2FBF02294245
https://ideas.repec.org/a/spr/psycho/v50y1985i2p159-179.html -
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Authors: et al.
Contributors: et al.
Subject Terms: Cluster analysis, DD-weighted gap statistic, K-means clustering, Weighted gap statistic, Gap statistic, Multi-layer clustering, Number of clusters
File Description: application/pdf
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Authors: Adeleke Raheem Ajiboye
Source: International Journal of Software Engineering and Computer Systems. 4:38-48
Subject Terms: Artificial intelligence, Data stream clustering, Cluster (spacecraft), 02 engineering and technology, Pattern recognition (psychology), Clustering Algorithms, Cluster analysis, Artificial Intelligence, Document Clustering, Shape Matching and Object Recognition, 0202 electrical engineering, electronic engineering, information engineering, Image Compression Techniques and Standards, CURE data clustering algorithm, Canopy clustering algorithm, Data mining, Data Clustering Techniques and Algorithms, Single-linkage clustering, Correlation clustering, Semi-supervised Clustering, Computer science, Programming language, Algorithm, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Determining the number of clusters in a data set, Stream Data Clustering, Density-based Clustering
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Subject Terms: cluster analysis, number of clusters, computer algorithm, mean shift method
File Description: application/pdf
Relation: Acta Universitatis Lodziensis. Folia Oeconomica;206; http://hdl.handle.net/11089/16838
Availability: http://hdl.handle.net/11089/16838
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Authors: Korzeniowski, Jerzy
Source: Uniwersytet Ekonomiczny we Wrocławiu
Relation: Prace Naukowe Akademii Ekonomicznej im. Oskara Langego we Wrocławiu; 2006; nr 1126; Taksonomia 13; Klasyfikacja i analiza danych – teoria i zastosowania; oai:dbc.wroc.pl:publication:180478; https://dbc.wroc.pl/dlibra/publication/180478/edition/141648/content; oai:dbc.wroc.pl:141648
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Subject Terms: method. Most popular ones are the following indices, Baker-Hubert, Caliński–
File Description: application/pdf
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Source: Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 5
Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Population, 02 engineering and technology, Clustering Algorithms, Cluster analysis, Sociology, Artificial Intelligence, Data Mining Techniques and Applications, Document Clustering, Machine learning, 0502 economics and business, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, CURE data clustering algorithm, Canopy clustering algorithm, Adaptation to Concept Drift in Data Streams, Data mining, Demography, Data Clustering Techniques and Algorithms, 05 social sciences, Correlation clustering, Semi-supervised Clustering, Computer science, FOS: Sociology, Algorithm, Genetic algorithm, Computer Science, Physical Sciences, Crossover, Determining the number of clusters in a data set, Stream Data Clustering, Density-based Clustering, Information Systems
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Authors: et al.
Source: The Proceedings of the 2nd International Conference on Industrial Application Engineering 2015.
Subject Terms: FOS: Computer and information sciences, Cluster Validation, Artificial intelligence, 02 engineering and technology, Pattern recognition (psychology), Quantum mechanics, 7. Clean energy, Clustering Methods, Cluster analysis, Artificial Intelligence, Data Mining Techniques and Applications, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, CURE data clustering algorithm, Data mining, Data Clustering Techniques and Algorithms, Mixture model, Single-linkage clustering, Physics, 4. Education, K-Means Clustering, Correlation clustering, Semi-supervised Clustering, Computer science, Silhouette, 13. Climate action, Computer Science, Physical Sciences, Gaussian, Determining the number of clusters in a data set, Data Mining in Various Applications, Stream Data Clustering, Mathematics, Information Systems
Access URL: https://www2.ia-engineers.org/conference/index.php/iciae/iciae2015/paper/download/576/380
https://www2.ia-engineers.org/conference/index.php/iciae/iciae2015/paper/download/576/380
https://jglobal.jst.go.jp/public/201702229911516886
https://www2.ia-engineers.org/conference/index.php/iciae/iciae2015/paper/view/576 -
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Source: Psychometrika; Jun1985, Vol. 50 Issue 2, p159-179, 21p
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