Search Results - "Data Clustering Techniques and Algorithms"

A Novel Classification Algorithm Based on the Synergy Between Dynamic Clustering with Adaptive Distances and K-Nearest Neighbors

Authors: Sabri, Mohammed Verde, Rosanna Balzanella, Antonio et al.

Source: Journal of Classification. 41:264-288

Subject Terms: Artificial intelligence, 02 engineering and technology, Pattern recognition (psychology), 7. Clean energy, Clustering Algorithms, Cluster analysis, Artificial Intelligence, Document Clustering, Multi-label Text Classification in Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Canopy clustering algorithm, Data mining, Data Clustering Techniques and Algorithms, Spectral Clustering, 4. Education, Correlation clustering, 15. Life on land, k-means clustering, Semi-supervised Clustering, Computer science, Nearest-neighbor chain algorithm, Algorithm, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, k-nearest neighbors algorithm, Face Recognition and Dimensionality Reduction Techniques, Density-based Clustering, Mathematics

Clustering and Geodesic Scaling of Dissimilarities on the Spherical Surface

Authors: José Ramón Navarro Vera Ricardo Subiabre Rodrigo Macías

Source: Digibug. Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)

Subject Terms: Geometry, 01 natural sciences, Scaling, Fuzzy Clustering, Cluster analysis, Artificial Intelligence, Document Clustering, Shape Matching and Object Recognition, FOS: Mathematics, 14. Life underwater, 0101 mathematics, 0105 earth and related environmental sciences, Data Clustering Techniques and Algorithms, Geodesic distance, Physics, Statistics, Geometric Morphometrics and Statistical Analysis, 15. Life on land, Semi-supervised Clustering, Computer science, Geodesic, Dissimilarity, 13. Climate action, Physical Sciences, Computer Science, Geometry and Topology, Computer Vision and Pattern Recognition, Surface (topology), Statistical physics, High-Dimensional Data, Mathematics, Density-based Clustering, Multidimensional scaling

Access URL: https://hdl.handle.net/10481/91493

Clustering Analysis of Multivariate Data: A Weighted Spatial Ranks-Based Approach

Authors: Mohammed Baragilly Hend Gabr Brian H Willis

Source: Journal of Probability and Statistics, Vol 2023 (2023)

Subject Terms: Sensory Analysis in Food Science Research, Artificial intelligence, Cluster (spacecraft), 02 engineering and technology, Pattern recognition (psychology), Quantum mechanics, 01 natural sciences, QA273-280, Clustering, Agricultural and Biological Sciences, Clustering Algorithms, Cluster analysis, Artificial Intelligence, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Data mining, Data Clustering Techniques and Algorithms, Nonparametric statistics, Physics, Statistics, Spatial analysis, Life Sciences, Measure (data warehouse), Semi-supervised Clustering, Computer science, Multivariate statistics, Programming language, Rank (graph theory), Combinatorics, Computer Science, Physical Sciences, Gaussian, Kernel (algebra), Model-Based Clustering with Mixture Models, Stream Data Clustering, Probabilities. Mathematical statistics, Density-based Clustering, Mathematics, Food Science

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Access URL: https://doaj.org/article/681bdaf8118f479b92e00a56250e988a

An ensemble clustering approach for modeling hidden categorization perspectives for cloud workloads

Authors: Mustafa Daraghmeh Anjali Agarwal Yaser Jararweh

Source: Cluster Computing. 27:4779-4803

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Environmental Engineering, 02 engineering and technology, Workload, Cloud Computing and Big Data Technologies, Bottleneck, Low-Cost Air Quality Monitoring Systems, Clustering Algorithms, Cluster analysis, Artificial Intelligence, Document Clustering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing, Embedded system, Data mining, Data Clustering Techniques and Algorithms, FOS: Environmental engineering, Cloud Computing, Semi-supervised Clustering, Computer science, Operating system, Categorization, Computer Science, Physical Sciences, Environmental Science, Stream Data Clustering, Information Systems

The Computational Complexity of Hierarchical Clustering Algorithms for Community Detection: A Review

Authors: Van Hieu Bui Huyen Trang Phan

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

Access URL: https://doaj.org/article/b721308f8e25405593a9c1fcc51cfabd

Row mixture-based clustering with covariates for ordinal responses

Authors: Kemmawadee Preedalikit Daniel Fernández Ivy Liu et al.

Contributors: Kemmawadee Preedalikit Daniel Fernández Ivy Liu et al.

Source: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

Subject Terms: Statistics and Probability, Mixtures -- Statistical methods, Data set, Proportional odds model, Mixture Models, 02 engineering and technology, Regularization and Variable Selection Methods, 01 natural sciences, Clustering, Database, Clustering Algorithms, Cluster analysis, Artificial Intelligence, Document Clustering, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Expectation–maximization algorithm, Ordinal data, Sampling (Statistics), 0101 mathematics, EM algorithm, Data mining, Data Clustering Techniques and Algorithms, Àrees temàtiques de la UPC::Matemàtiques i estadística, Statistics, Covariate, Computer science, Anàlisi de conglomerats, Ordinal responses, Row, Computer Science, Physical Sciences, Computational statistics, Mixture models, Model-Based Clustering with Mixture Models, Mostreig (Estadística), Mathematics, Density-based Clustering, Cluster analysis, EM algorithm, Mixture models, Ordinal responses, Proportional odds model, Maximum likelihood

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On Simulating Skewed and Cluster-Weighted Data for Studying Performance of Clustering Algorithms

Authors: Volodymyr Melnykov Yan Wang Yana Melnykov et al.

Source: Journal of Computational and Graphical Statistics. 33:303-309

Subject Terms: Data Clustering Techniques and Algorithms, Algorithm, Artificial intelligence, Cluster analysis, Artificial Intelligence, 4. Education, Computer Science, Physical Sciences, Cluster (spacecraft), Computer science, Data mining, Programming language

Clustering objects for spatial data mining: a comparative study

Authors: Youssef Fakir Rachid Elayachi Btissam MAHI

Source: Journal of Big Data Research. 1:1-11

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Trajectory Data Mining and Analysis, 7. Clean energy, Clustering Algorithms, Cluster analysis, Artificial Intelligence, Data Mining Techniques and Applications, Document Clustering, 11. Sustainability, FOS: Mathematics, CURE data clustering algorithm, Data mining, Medoid, Data Clustering Techniques and Algorithms, 4. Education, Statistics, Spatial analysis, Correlation clustering, 15. Life on land, Semi-supervised Clustering, Computer science, Computer Science, Physical Sciences, Signal Processing, Object (grammar), Stream Data Clustering, Density-based Clustering, Mathematics, Information Systems, Spatial database

Large Scale Data Using K-Means

Authors: Raheela zaib OURLIS Ourabah

Source: Mesopotamian Journal of Big Data. 2023:36-45

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Data pre-processing, Scale (ratio), Trajectory Data Mining and Analysis, Cluster (spacecraft), 02 engineering and technology, Quantum mechanics, 7. Clean energy, Data science, Clustering Algorithms, Cluster analysis, Artificial Intelligence, Data Mining Techniques and Applications, Machine learning, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, K-means, Data mining, Preprocessor, Data Clustering Techniques and Algorithms, Curse of dimensionality, Physics, Data point, Centroid, 15. Life on land, Computer science, Dimensionality reduction, Programming language, Top-k Query Processing, Algorithm, Computer Science, Physical Sciences, Signal Processing, High-Dimensional Data, Density-based Clustering, Information Systems

Partitioning Graph Clustering With User-Specified Density

Authors: Rohi Tariq Kittichai Lavangnananda Pascal Bouvry et al.

Source: IEEE Access, Vol 11, Pp 122273-122294 (2023)

Subject Terms: Artificial intelligence, Cluster (spacecraft), 7. Clean energy, Graph, 12. Responsible consumption, Clustering Algorithms, Clustering coefficient, Cluster analysis, Theoretical computer science, Graph clustering, Artificial Intelligence, Document Clustering, 11. Sustainability, Image Quality Assessment in Multimedia Content, Data mining, Data Clustering Techniques and Algorithms, Correlation clustering, Statistical and Nonlinear Physics, 15. Life on land, Semi-supervised Clustering, Computer science, TK1-9971, Programming language, Algorithm, partitioning graph clustering, Physics and Astronomy, Physical Sciences, Computer Science, 8. Economic growth, relative density, quality metric, Statistical Mechanics of Complex Networks, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, NP problem, Stream Data Clustering, Density-based Clustering, mean relative density deviation coefficient (MDRCC)

Access URL: https://doaj.org/article/ca0f96f6de354752973382707f2d9d0e

A Three-Way Clustering Mechanism to Handle Overlapping Regions

Authors: Anwar Shah Bahar Ali Fazal Wahab et al.

Source: IEEE Access, Vol 12, Pp 6546-6559 (2024)

Subject Terms: Artificial intelligence, Robustness (evolution), blurring, Sharpening, Cluster (spacecraft), Pattern recognition (psychology), Biochemistry, Gene, Clustering, Clustering Algorithms, Cluster analysis, Hamming distance, Artificial Intelligence, overlapping, Document Clustering, Multi-label Text Classification in Machine Learning, Data mining, Data Clustering Techniques and Algorithms, Spectral Clustering, Semi-supervised Clustering, Computer science, image processing, TK1-9971, Programming language, Algorithm, three-way clustering, Chemistry, Computer Science, Physical Sciences, Computation, sharpening, Object (grammar), Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Density-based Clustering

Access URL: https://doaj.org/article/3573e0da037b4882ad09262fae39bbbb

Topic diffusion prediction on bibliographic network: effect of topic modeling on activation probability measure

Authors: Thi Kim Thoa Ho Quang Vu Bui

Source: Hue University Journal of Science: Techniques and Technology. 131:49-63

Subject Terms: Artificial intelligence, Statistical Physics of Opinion Dynamics, Structural engineering, Node (physics), Quantum mechanics, Term (time), Diffusion, Engineering, Topic model, Artificial Intelligence, Information retrieval, Data mining, Data Clustering Techniques and Algorithms, Physics, 4. Education, Statistical and Nonlinear Physics, Measure (data warehouse), Path (computing), Computer science, Programming language, Physics and Astronomy, Physical Sciences, Computer Science, Influence Maximization, Statistical Mechanics of Complex Networks, Thermodynamics

Feature’s importance assessment for activation probability measure in topic’s diffusion prediction

Authors: Thi Kim Thoa Ho Quang Vu Bui

Source: Hue University Journal of Science: Techniques and Technology. 131:33-47

Subject Terms: Artificial intelligence, Path analysis (statistics), Feature (linguistics), Quantum mechanics, Diffusion, Selection (genetic algorithm), Artificial Intelligence, Multi-label Text Classification in Machine Learning, FOS: Mathematics, Image (mathematics), Similarity (geometry), Feature Selection, Data mining, Data Clustering Techniques and Algorithms, Physics, 4. Education, Statistics, Path coefficient, Statistical and Nonlinear Physics, Measure (data warehouse), Linguistics, Computer science, Sigma, FOS: Philosophy, ethics and religion, Mutual information, Philosophy, Physics and Astronomy, Physical Sciences, Computer Science, Feature selection, FOS: Languages and literature, Statistical Mechanics of Complex Networks, Thermodynamics, Mathematics

Data Clustering using Two-Stage Eagle Strategy Based on Slime Mould Algorithm

Authors: Rachid Oucheikh Achraf Touil Mouhsene Fri

Source: Journal of Computer Science. 18:1062-1084

Subject Terms: Data Clustering Techniques and Algorithms, Artificial intelligence, 4. Education, Mathematical optimization, Metaheuristic, 02 engineering and technology, 15. Life on land, Semi-supervised Clustering, Computer science, 7. Clean energy, Algorithm, Clustering Algorithms, Fuzzy Clustering, Cluster analysis, Artificial Intelligence, Document Clustering, Computer Science, Physical Sciences, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, Stream Data Clustering, Mathematics

Optimizing Data Exploration: Unifying Clustering and Association Rule Extraction

Authors: Youssef Fakir

Subject Terms: FOS: Computer and information sciences, Rough Sets Theory and Applications, Artificial intelligence, Decision Analysis, MEDLINE, FOS: Political science, Data extraction, FOS: Law, Clustering Algorithms, Fuzzy Clustering, Cluster analysis, Context (archaeology), Knowledge extraction, Artificial Intelligence, Data Mining Techniques and Applications, Document Clustering, Machine learning, CURE data clustering algorithm, Data mining, Political science, Data Clustering Techniques and Algorithms, Association rule learning, Geography, Correlation clustering, Computer science, Computational Theory and Mathematics, Archaeology, Computer Science, Physical Sciences, Relevance (law), Consensus clustering, Stream Data Clustering, Law, Information Systems

SSCNet: learning-based subspace clustering

Authors: Xingyu Xie Jianlong Wu Guangcan Liu et al.

Source: Visual Intelligence. 2

Subject Terms: Data Clustering Techniques and Algorithms, Artificial intelligence, 02 engineering and technology, Neural Network Fundamentals and Applications, Pattern recognition (psychology), Computer science, Subspace topology, Cluster analysis, Artificial Intelligence, Computer Science, Physical Sciences, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques

Representation Learning in Multi-view Clustering: A Literature Review

Authors: Man-Sheng Chen Jiaqi Lin Xianglong Li et al.

Source: Data Science and Engineering. 7:225-241

Subject Terms: Artificial intelligence, FOS: Political science, Perspective (graphical), FOS: Law, 02 engineering and technology, 7. Clean energy, Graph, Cluster analysis, Theoretical computer science, Artificial Intelligence, Document Clustering, Multi-label Text Classification in Machine Learning, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Information retrieval, Multi-label Learning, Data mining, Political science, Data Clustering Techniques and Algorithms, Spectral Clustering, 4. Education, Politics, Feature learning, Deep learning, 15. Life on land, Semi-supervised Clustering, Computer science, Subspace topology, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Representation (politics), Law, Density-based Clustering

The effective BRKGA algorithm for the k-medoids clustering problem

Authors: José André de Moura Brito Gustavo Silva Semaan Augusto Fadel

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

A systematic review of symbiotic organisms search algorithm for data clustering and predictive analysis

Authors: Abbas Fadhil Jasim AL-Gburi Mohd Zakree Ahmad Nazri Mohd Ridzwan Yaakub et al.

Source: Journal of Intelligent Systems, Vol 33, Iss 1, Pp 169-85 (2024)

Subject Terms: Artificial intelligence, Science, 02 engineering and technology, Clustering Algorithms, feature selection, Cluster analysis, systematic review, symbiotic organisms search algorithm, Artificial Intelligence, Document Clustering, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, Adaptation to Concept Drift in Data Streams, Data mining, Adaptive Algorithms, Data Clustering Techniques and Algorithms, QA75.5-76.95, 15. Life on land, Semi-supervised Clustering, Computer science, Algorithm, Informatik, Sonstiges, classification, Electronic computers. Computer science, Computer Science, Physical Sciences, Density-based Clustering, clustering

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Access URL: https://doaj.org/article/25a0db704b474652bb2ed0311a8ffb4e

Morphological Accuracy Data Clustering: A Novel Algorithm for Enhanced Cluster Analysis

Authors: A. A. Azzam ahmed maghrabi Eman El-Naqeeb et al.

Source: Applied Computational Intelligence and Soft Computing, Vol 2024 (2024)

Subject Terms: Artificial intelligence, 02 engineering and technology, Cluster (spacecraft), Pattern recognition (psychology), 01 natural sciences, Clustering Algorithms, Cluster analysis, Artificial Intelligence, Document Clustering, Shape Matching and Object Recognition, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics, Data mining, Data Clustering Techniques and Algorithms, Spectral Clustering, 4. Education, QA75.5-76.95, 15. Life on land, 16. Peace & justice, Semi-supervised Clustering, Computer science, Algorithm, Operating system, Electronic computers. Computer science, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Density-based Clustering

Access URL: https://doaj.org/article/88ef3ae4aba246dfa3be88909a82ff16