Search Results - "Cluster validation"
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Authors:
Source: Journal of Data Mining and Digital Humanities. NLP4DH
Subject Terms: document clustering, topic modeling, topic modeling evaluation, news clustering, topic coherence, human evaluation methods, crowdsourced cluster validation, BERTopic, CIPHE, Computer Science, datalogi
File Description: electronic
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Authors: et al.
Source: IEEE Access. 13:139524-139546
Subject Terms: Cluster analysis, cluster validation indices, cluster validation measures, clustering, data stream clustering, data stream mining, data streams, evaluation, review, streaming data, Clustering algorithms, Data mining, Iterative methods, Quality control, Cluster validation, Cluster validation index, Cluster validation measure, Clusterings, Data stream, Data streams mining, Validation index, Reviews
File Description: electronic
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Authors: et al.
Source: IEEE Access, Vol 13, Pp 22728-22744 (2025)
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Authors:
Source: Statistical Analysis and Data Mining: An ASA Data Science Journal. 18
Subject Terms: internal cluster validation, Laplacian embedding, low-rank representation, nuclear norm
File Description: application/pdf
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Authors: Donia Y. Badawood
Source: Array, Vol 28, Iss , Pp 100560- (2025)
Subject Terms: High-dimensional clustering, Visual cluster validation, Manifold learning, Statistical metrics, Visual analytics, UMAP, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95
File Description: electronic resource
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Authors:
Source: Italian Statistical Society Series on Advances in Statistics ISBN: 9783031967351
Subject Terms: Cluster validation, Cluster validation, Clustering stability, Mirkin distance, Non-parameteric bootstrap, Clustering stability, Mirkin distance, Non-parameteric bootstrap
File Description: application/pdf
Access URL: https://hdl.handle.net/11588/1004536
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Authors: Mozammel H. A. Khan
Source: IEEE Access, Vol 13, Pp 185433-185455 (2025)
Subject Terms: Arbitrarily shaped clusters, feature subset selection, inseparable cluster detection, internal cluster validation, optimal cluster number, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
File Description: electronic resource
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Authors:
Source: Swiss Journal of Sociology, Vol 49, Iss 2, Pp 417-446 (2023)
Unterlerchner, Leonhard; Studer, Matthias; Gomensoro, Andrés (2023). Back to the features. Investigating the Relationships Between Educational Pathways and Income Using Sequence Analysis and Feature Extraction and Selection Approach. Swiss Journal of Sociology, 49(2), pp. 417-446. De Gruyter 10.2478/sjs-2023-0021 <http://dx.doi.org/10.2478/sjs-2023-0021>Subject Terms: feature extraction and selection, sequence analysis, 300 Social sciences, sociology & anthropology, Sequence analysis, 304.6/305.3/306, Feature extraction and selection, HM401-1281, Cluster validation, income, Income, Educational pathways, Sociology (General), cluster validation, educational pathways
File Description: application/pdf
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Authors: et al.
Source: Journal of Computational Social Science. 1(2):327-347
Subject Terms: Cluster validation measures, Data analysis, Human capital management, Internal communication, Organizational structure
File Description: electronic
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Authors: et al.
Source: Mathematics, Vol 13, Iss 17, p 2832 (2025)
Subject Terms: cluster validation index, categorical data, frequent patterns, semantic description, Mathematics, QA1-939
File Description: electronic resource
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Authors: et al.
Subject Terms: Cluster validation, Clustering, Combinational therapy, Fuzzy clustering, Hopkins statistic, Physico chemical properties
Relation: https://zenodo.org/records/14854055; oai:zenodo.org:14854055; https://doi.org/10.11591/ijphs.v13i2.23322
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12
Authors:
Source: Sensors ; Volume 25 ; Issue 7 ; Pages: 2026
Subject Terms: interpretable machine learning, decision tree interpretability, electricity load profiling, clustering algorithms, cluster validation indices (CVIs), data characteristics, dimensionality reduction
File Description: application/pdf
Relation: Intelligent Sensors; https://dx.doi.org/10.3390/s25072026
Availability: https://doi.org/10.3390/s25072026
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The Computational Complexity of Hierarchical Clustering Algorithms for Community Detection: A Review
Authors:
Source: Vietnam Journal of Computer Science, Vol 10, Iss 04, Pp 409-431 (2023)
Subject Terms: Cluster Validation, Artificial intelligence, Social Sciences, Experimental and Cognitive Psychology, Information technology, 02 engineering and technology, 7. Clean energy, Hierarchical clustering, Data science, 12. Responsible consumption, Clustering Algorithms, Cluster analysis, Artificial Intelligence, Document Clustering, Field (mathematics), Machine learning, 11. Sustainability, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Network Analysis of Psychopathology and Mental Disorders, Psychology, Community Structure, Data mining, modularity, Data Clustering Techniques and Algorithms, Computational intelligence, Community detection, Pure mathematics, random walks, Statistical and Nonlinear Physics, QA75.5-76.95, T58.5-58.64, Computer science, FOS: Psychology, Computational complexity theory, Algorithm, Physics and Astronomy, networks, Electronic computers. Computer science, Physical Sciences, Computer Science, 8. Economic growth, Statistical Mechanics of Complex Networks, Laplacian, Density-based Clustering, Mathematics
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Authors: Christian Hennig
Source: Advances in Data Analysis and Classification. 16:201-229
Subject Terms: Methodology (stat.ME), FOS: Computer and information sciences, Cluster benchmarking Internal cluster validation External cluster validation Mixed effects model, Statistics - Methodology, 62H30
File Description: application/pdf
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15
Authors:
Source: RAIRO - Operations Research. 56:3137-3153
Subject Terms: Vehicle Routing Problem and Variants, Cluster Validation, Artificial intelligence, Hybrid Algorithms, Trajectory Data Mining and Analysis, 0211 other engineering and technologies, Heuristic, 02 engineering and technology, 7. Clean energy, Industrial and Manufacturing Engineering, Clustering Algorithms, Engineering, Cluster analysis, k-medoids, Artificial Intelligence, Computer security, Machine learning, FOS: Mathematics, Stability (learning theory), Key (lock), Canopy clustering algorithm, Medoid, Data Clustering Techniques and Algorithms, Mathematical optimization, Correlation clustering, Integer programming, Semi-supervised Clustering, Computer science, Silhouette, Programming language, Algorithm, Computer Science, Physical Sciences, Signal Processing, Integer (computer science), Density-based Clustering, Mathematics
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16
Authors:
Subject Terms: cluster validation, mixture models, model-based clustering, resampling methods, resampling methods, model-based clustering, mixture models, cluster validation
File Description: application/pdf
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17
Authors:
Subject Terms: Cluster validation, Resampling methods, Cluster validation, Mixture models, Model-based clustering, Resampling methods, Model-based clustering, Mixture models
File Description: application/pdf
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Authors:
Source: Mathematics, Vol 12, Iss 21, p 3417 (2024)
Subject Terms: asymptotic analysis, cluster validation, method-selection, model-selection, resampling methods, QA1-939, cluster validation, model-selection, method-selection, resampling methods, asymptotic analysis, Mathematics
File Description: application/pdf
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19
Authors: et al.
Source: IEEE Access, Vol 10, Pp 352-367 (2022)
Subject Terms: Human and Machine based Intelligence in Learning, ta113, mallintaminen, Tekniikka, distance estimation, laatu, 02 engineering and technology, Computational Science, TK1-9971, missing values, klusterit, Engineering, koneoppiminen, data, validointi, algoritmit, 0202 electrical engineering, electronic engineering, information engineering, Missing values, Electrical engineering. Electronics. Nuclear engineering, cluster validation, Learning and Cognitive Sciences, Laskennallinen tiede, Koulutusteknologia ja kognitiotiede, tietojenkäsittely, clustering
File Description: application/pdf; fulltext
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20
Authors:
Contributors:
Subject Terms: Demographic Segmentation, Viewer Clustering, Hierarchical Clustering, Spectral Clustering, Elbow Method, Cross-Platform Segmentation, Targeted Marketing, Cluster Validation
Relation: https://zenodo.org/records/11343248; oai:zenodo.org:11343248; https://doi.org/10.35940/ijisme.F9862.12050524
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