Výsledky vyhledávání - "canopy clustering algorithm"

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

Autoři: Sabri, Mohammed Verde, Rosanna Balzanella, Antonio a další

Zdroj: Journal of Classification. 41:264-288

Témata: 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

Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data

Autoři: Pham Huy Thong Florentín Smarandache Phung The Huan a další

Zdroj: Computer Systems Science and Engineering. 46:1981-1997

Témata: Artificial intelligence, Data stream clustering, Image Analysis, 02 engineering and technology, Pattern recognition (psychology), Engineering, Cluster analysis, Image Feature Retrieval and Recognition Techniques, Machine learning, Media Technology, 0202 electrical engineering, electronic engineering, information engineering, 14. Life underwater, CURE data clustering algorithm, Canopy clustering algorithm, Data mining, Geography, Spectral Clustering, Fuzzy clustering, 4. Education, Change Detection, Correlation clustering, Hyperspectral Image Analysis and Classification, Computer science, Fuzzy logic, Spectral Unmixing, Outlier, Physical Sciences, Computer Science, 8. Economic growth, Clustering high-dimensional data, Consensus clustering, Computer Vision and Pattern Recognition, Benchmark (surveying), Face Recognition and Dimensionality Reduction Techniques, Feature Matching, Geodesy

The effective BRKGA algorithm for the k-medoids clustering problem

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

Zdroj: RAIRO - Operations Research. 56:3137-3153

Témata: 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

Sentiment Analysis based on Soft Clustering through Dimensionality Reduction Technique

Autoři: Saba Akmal Hafiz Muhammad Shahzad Asif

Zdroj: Mehran University Research Journal of Engineering and Technology, Vol 40, Iss 3, Pp 630-644 (2021)

Témata: FOS: Computer and information sciences, Technology, Artificial intelligence, Data stream clustering, Science, Principal component analysis, Set (abstract data type), 02 engineering and technology, Pattern recognition (psychology), 7. Clean energy, Detection and Prevention of Phishing Attacks, Behavioral Analysis, Cluster analysis, Artificial Intelligence, Aspect-based Sentiment Analysis, Multi-label Text Classification in Machine Learning, Sentiment Analysis, 0202 electrical engineering, electronic engineering, information engineering, Feature Selection, CURE data clustering algorithm, Canopy clustering algorithm, Data mining, Fuzzy clustering, Correlation clustering, Engineering (General). Civil engineering (General), Computer science, Dimensionality reduction, Programming language, Sentiment Analysis and Opinion Mining, 13. Climate action, Emotion Recognition, Computer Science, Physical Sciences, Clustering high-dimensional data, TA1-2040, Information Systems

Přístupová URL adresa: https://publications.muet.edu.pk/index.php/muetrj/article/download/2186/537
https://doaj.org/article/0eb7dff3db2e41589d550427df081bf0
https://ui.adsabs.harvard.edu/abs/2021MURJE..40..630A/abstract

Automatic road sign detection and recognition based on neural network

Autoři: Redouan Lahmyed Mohamed El Ansari Zakaria Kerkaou

Zdroj: Soft Computing. 26:1743-1764

Témata: Artificial intelligence, Support vector machine, Feature (linguistics), RGB color model, 02 engineering and technology, Pattern recognition (psychology), Feature vector, Automatic License Plate Recognition System, Engineering, 0202 electrical engineering, electronic engineering, information engineering, Similarity (geometry), Local binary patterns, Canopy clustering algorithm, Object Recognition, Vehicle Identification, 05 social sciences, FOS: Philosophy, ethics and religion, Traffic sign, Sign (mathematics), Physical Sciences, Feature extraction, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Artificial neural network, Traffic sign recognition, Motion Detection, Mathematical analysis, Intelligent Transportation Systems, Visual Object Tracking and Person Re-identification, Cluster analysis, Image Feature Retrieval and Recognition Techniques, Color space, Object Detection, 0502 economics and business, Media Technology, FOS: Mathematics, Image (mathematics), Image Recognition, Histogram, Real-Time Recognition, Fuzzy clustering, AdaBoost, Linguistics, Computer science, DBSCAN, Philosophy, Computer Science, Multiple Object Tracking, FOS: Languages and literature, Computer vision, Classifier (UML), Automatic License Plate Recognition, Mathematics

Přístupová URL adresa: https://www.researchsquare.com/article/rs-408446/v1.pdf?c=1641984741000
https://www.researchsquare.com/article/rs-408446/v1.pdf?c=1631883557000
https://www.researchsquare.com/article/rs-408446/v1
https://www.researchsquare.com/article/rs-408446/v1.pdf?c=1631883557000
https://europepmc.org/article/PPR/PPR352740

F1-ECAC: Enhanced Evolutionary Clustering Using an Ensemble of Supervised Classifiers

Autoři: Benjamin Mario Sainz-Tinajero Andres E. Gutierrez-Rodríguez Héctor G. Ceballos a další

Zdroj: IEEE Access, Vol 9, Pp 134192-134207 (2021)

Témata: Cluster Validation, Artificial intelligence, Data stream clustering, 02 engineering and technology, Pattern recognition (psychology), Unsupervised learning, classifier ensembles, evolutionary clustering, Clustering Algorithms, Constrained clustering, Cluster analysis, Artificial Intelligence, Document Clustering, Machine learning, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Swarm Intelligence Optimization Algorithms, CURE data clustering algorithm, Canopy clustering algorithm, Data mining, Data Clustering Techniques and Algorithms, Fuzzy clustering, Correlation clustering, Semi-supervised Clustering, Computer science, TK1-9971, Application of Genetic Programming in Machine Learning, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, optimization, Density-based Clustering, Mathematics, clustering

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09551203.pdf
https://doaj.org/article/13a0f1c0f9214d4e88d36043f4dc3bb0

Adaptive Landmark-Based Spectral Clustering for Big Datasets

Autoři: Ahmed R. Abas Mohamed G. Mahdy Tarek M. Mahmoud

Zdroj: IEEE Access, Vol 9, Pp 88291-88300 (2021)

Témata: Artificial neural network, Artificial intelligence, parallel processing, Data stream clustering, landmark-based spectral clustering, big datasets, MNIST database, 02 engineering and technology, Pattern recognition (psychology), Clustering Algorithms, Big data, Landmark, Cluster analysis, Artificial Intelligence, Spectral clustering, 0202 electrical engineering, electronic engineering, information engineering, CURE data clustering algorithm, Theory and Applications of Extreme Learning Machines, Canopy clustering algorithm, Data mining, Data Clustering Techniques and Algorithms, Spectral Clustering, Single-linkage clustering, Correlation clustering, Semi-supervised Clustering, Computer science, TK1-9971, Computer Science, Physical Sciences, Clustering high-dimensional data, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Adaptive competitive learning neural network, Face Recognition and Dimensionality Reduction Techniques, Stream Data Clustering, Density-based Clustering, clustering

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/6514899/09450802.pdf
https://doaj.org/article/2dbf81e482bc4e8aa590d9371882ac31

Analysis of media content recommendation in the new media era considering scene clustering algorithm

Autoři: Xueyong Yu Wenda Wu

Zdroj: Applied Mathematics and Nonlinear Sciences. 9

Témata: FOS: Computer and information sciences, Artificial intelligence, Sociology and Political Science, Collaborative filtering, Social Sciences, Trust-Aware Recommender Systems, 02 engineering and technology, Quantum mechanics, 7. Clean energy, Context-Aware Recommender Systems, Cluster analysis, Shape Matching and Object Recognition, 0202 electrical engineering, electronic engineering, information engineering, Information retrieval, Canopy clustering algorithm, Recommender system, Data mining, Precision and recall, Impact of Social Media on Consumer Behavior, Physics, Content-Based Recommendation, Correlation clustering, Power (physics), Computer science, Algorithm, Reliability (semiconductor), Recommender System Technologies, Collaborative Filtering, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Content-Based Image Retrieval, Information Systems

Opinion Mining with Density Forests

Autoři: Phuc Quang Tran Dung Ngoc Le Ha Hai Thanh Nguyen a další

Zdroj: EAI Endorsed Transactions on Context-aware Systems and Applications. 9

Témata: Artificial intelligence, Text Mining, Construct (python library), Feature (linguistics), 02 engineering and technology, Noise (video), Space (punctuation), 01 natural sciences, Data science, 12. Responsible consumption, Cluster analysis, Artificial Intelligence, Aspect-based Sentiment Analysis, Multi-label Text Classification in Machine Learning, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), 0101 mathematics, Feature Selection, Opinion Mining, Canopy clustering algorithm, Data mining, Geography, Correlation clustering, Linguistics, 15. Life on land, DBSCAN, Computer science, FOS: Philosophy, ethics and religion, Programming language, Automatic Keyword Extraction from Textual Data, Philosophy, Operating system, Sentiment Analysis and Opinion Mining, Computer Science, Physical Sciences, 8. Economic growth, FOS: Languages and literature, Random forest

Road network partitioning method based on Canopy-Kmeans clustering algorithm

Autoři: Xiaohui Lin Jianmin Xu

Zdroj: Archives of Transport, Vol 54, Iss 2, Pp 95-106 (2020)

Témata: Transportation engineering, T59.5, Automation, TA1001-1280, 0202 electrical engineering, electronic engineering, information engineering, traffic engineering, road network partition, canopy clustering algorithm, kmeans clustering algorithm, macroscopic fundamental diagram, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General)

Přístupová URL adresa: https://doaj.org/article/86f2c7c22e1a42d58f8c1c48aad405ed
https://ui.adsabs.harvard.edu/abs/2020ArTr...54...95L/abstract
https://paperity.org/p/274584787/road-network-partitioning-method-based-on-canopy-kmeans-clustering-algorithm
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-7fda764e-a475-4d01-86a1-02897147d6d1/c/at2020_2_lin_road.pdf
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-7fda764e-a475-4d01-86a1-02897147d6d1

When the Decomposition Meets the Constraint Satisfaction Problem

Autoři: Youcef Djenouri Djamel Djenouri Zineb Habbas a další

Zdroj: IEEE Access, Vol 8, Pp 207034-207043 (2020)
207034-207043
IEEE Access

Témata: Artificial intelligence, Decomposition method (queueing theory), Data Stream Management Systems and Techniques, GPU, Distributed Constraint Optimization Problems and Algorithms, 0211 other engineering and technologies, 02 engineering and technology, Constraint satisfaction, Soft Constraints, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Canopy clustering algorithm, scalability, Probabilistic logic, Adaptation (eye), Ecology, Physics, General Engineering, Correlation clustering, Discrete mathematics, Programming language, Top-k Query Processing, Algorithm, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, General Computer Science, Computer Networks and Communications, Constraint satisfaction problem, Trajectory Data Mining and Analysis, Geometry, Set (abstract data type), Local consistency, Query Optimization, Clustering Algorithms, Cluster analysis, Theoretical computer science, CSP, FOS: Mathematics, Constraint (computer-aided design), Biology, Decomposition, Constraint logic programming, decomposition, Optics, Computer science, DBSCAN, TK1-9971, Constraint satisfaction dual problem, FOS: Biological sciences, Computer Science, Signal Processing, Constraint Optimization, Mathematics

Popis souboru: PDF; application/pdf

Přístupová URL adresa: https://doaj.org/article/d67faf3c34de4e0581ca7b29364a0499
https://ieeexplore.ieee.org/document/9260140
https://doi.org/10.1109/ACCESS.2020.3038228
https://hvlopen.brage.unit.no/hvlopen-xmlui/handle/11250/2729390
https://dblp.uni-trier.de/db/journals/access/access8.html#DjenouriDHLMC20
https://hdl.handle.net/11250/3057457
https://hdl.handle.net/11250/2729390

Urban Area Function Zoning Based on User Relationships in Location-Based Social Networks

Autoři: Fei Hao Junzhe Zhang Zhenhai Duan a další

Zdroj: IEEE Access, Vol 8, Pp 23487-23495 (2020)

Témata: Clustering algorithms, FOS: Political science, Social Sciences, Statistical Physics of Opinion Dynamics, Transportation, Evolutionary biology, 02 engineering and technology, Social psychology, Data science, Social media, prestige assessment, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Centrality, Psychology, Urban areas, Canopy clustering algorithm, Political science, Social network, Social Sensing, Social networking (online), STEM, World Wide Web, Algorithm, FOS: Psychology, Popularity, Function (biology), Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Correctness, FOS: Law, Location-Based Data, Cluster analysis, Machine learning, FOS: Mathematics, density clustering, Data mining, Biology, Fuzzy clustering, eigenvector centrality, Statistical and Nonlinear Physics, Zoning, Computer science, DBSCAN, TK1-9971, Mobile handsets, Physics and Astronomy, Social network (sociolinguistics), Combinatorics, Statistical Mechanics of Complex Networks, urban area function, Law, Mathematics, Understanding Human Mobility Patterns

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/08974288.pdf
https://doaj.org/article/f70703b30c9949ddb31e807b8249ca44
https://dblp.uni-trier.de/db/journals/access/access8.html#HaoZDZGP20
https://ore.exeter.ac.uk/repository/handle/10871/121859
https://doi.org/10.1109/ACCESS.2020.2970192
https://ieeexplore.ieee.org/abstract/document/8974288

An Explainable Artificial Intelligence Model for Clustering Numerical Databases

Autoři: Octavio Loyola‐González Andres E. Gutierrez-Rodríguez Miguel Angel Medina‐Pérez a další

Zdroj: IEEE Access, Vol 8, Pp 52370-52384 (2020)

Témata: FOS: Computer and information sciences, Rough Sets Theory and Applications, Cluster Validation, Artificial intelligence, Feature (linguistics), Explainable model, Set (abstract data type), unsupervised decision trees, Epistemology, 02 engineering and technology, Unsupervised learning, Cluster analysis, Artificial Intelligence, Data Mining Techniques and Applications, Document Clustering, Black box, Machine learning, Decision tree, 0202 electrical engineering, electronic engineering, information engineering, Canopy clustering algorithm, Data mining, Conceptual clustering, Data Clustering Techniques and Algorithms, Fuzzy clustering, Decision Trees, Ranking (information retrieval), Linguistics, numerical databases, Semi-supervised Clustering, Computer science, TK1-9971, FOS: Philosophy, ethics and religion, Programming language, Philosophy, Computational Theory and Mathematics, Computer Science, Physical Sciences, Quality (philosophy), FOS: Languages and literature, Electrical engineering. Electronics. Nuclear engineering, Density-based Clustering, clustering, Information Systems

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09035478.pdf
https://doaj.org/article/a7e86c39621a4c5bbd8f77d14c1fa1b0
https://dblp.uni-trier.de/db/journals/access/access8.html#Loyola-Gonzalez20
http://ieeexplore.ieee.org/document/9035478/
https://doi.org/10.1109/ACCESS.2020.2980581
https://ieeexplore.ieee.org/document/9035478/

Design of digital economy consumer psychology prediction model based on canopy clustering algorithm

Autoři: Yue Zhang Peng Ruan Jingfeng Zhao

Zdroj: Frontiers in Psychology, Vol 13 (2022)

Témata: Canopy clustering algorithm, digital economy, consumer psychology forecast, predictive model design, digital consumption, Psychology, BF1-990

Popis souboru: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.939283/full; https://doaj.org/toc/1664-1078

Přístupová URL adresa: https://doaj.org/article/c745657081954821b70503d72e9abc38

An Enhanced Version of Black Hole Algorithm via Levy Flight for Optimization and Data Clustering Problems

Autoři: Haneen A. Abdulwahab Ahmad Noraziah AbdulRahman A. Alsewari a další

Zdroj: IEEE Access, Vol 7, Pp 142085-142096 (2019)

Témata: Optimization, Economics and Econometrics, Data stream clustering, Robustness (evolution), Social Sciences, metaheuristic, Local optimum, 02 engineering and technology, Econophysics: Complexity in Financial Markets, Biochemistry, Gene, Computational Complexity and Algorithmic Information Theory, Cluster analysis, Artificial Intelligence, Hashing, computational intelligence, Machine learning, black hole, 0202 electrical engineering, electronic engineering, information engineering, CURE data clustering algorithm, Optimization problem, Canopy clustering algorithm, Data mining, Computability, Geography, Text Compression and Indexing Algorithms, Correlation clustering, Computer science, TK1-9971, Algorithm, Economics, Econometrics and Finance, Chemistry, data clustering, Computational Theory and Mathematics, levy flight, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Benchmark (surveying), Algorithms, Geodesy

Přístupová URL adresa: https://ieeexplore.ieee.org/ielx7/6287639/8600701/08809737.pdf
https://doaj.org/article/2a3f5b0e368f4c47ae7b3e853fc55c92
https://dblp.uni-trier.de/db/journals/access/access7.html#AbdulwahabNAS19
https://ieeexplore.ieee.org/document/8809737
http://umpir.ump.edu.my/id/eprint/27559/

Affinity Propagation‐Based Hybrid Personalized Recommender System

Autoři: Iqbal Qasim Mujtaba Awan Sikandar Ali a další

Zdroj: Complexity, Vol 2022 (2022)

Témata: FOS: Computer and information sciences, Artificial intelligence, Computer Networks and Communications, Collaborative filtering, Trust-Aware Recommender Systems, Epistemology, 02 engineering and technology, Context-Aware Recommender Systems, Affinity propagation, Cluster analysis, Artificial Intelligence, Multi-label Text Classification in Machine Learning, Machine learning, Information overload, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Information retrieval, Similarity (geometry), Feature Selection, Recommender system, Canopy clustering algorithm, Data mining, Content-Centric Networking for Information Delivery, Content-Based Recommendation, Ranking (information retrieval), Correlation clustering, QA75.5-76.95, Computer science, FOS: Philosophy, ethics and religion, World Wide Web, Philosophy, Recommender System Technologies, Collaborative Filtering, Electronic computers. Computer science, Computer Science, Physical Sciences, Quality (philosophy), Information Systems

Popis souboru: text/xhtml

Přístupová URL adresa: https://downloads.hindawi.com/journals/complexity/2022/6958596.pdf
https://doaj.org/article/696e1399ef9a402492523893e327b923

PERFORMANCE EVALUATION OF SELECTED DISTANCE-BASED AND DISTRIBUTION-BASED CLUSTERING ALGORITHMS

Autoři: Adeleke Raheem Ajiboye

Zdroj: International Journal of Software Engineering and Computer Systems. 4:38-48

Témata: 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

Přístupová URL adresa: https://journal.ump.edu.my/ijsecs/article/download/194/24
https://journal.ump.edu.my/ijsecs/article/view/194

CLUSTERING OF WORKPLACES AND COMPULSORY INSURED POLICYHOLDERS ACCORDING TO PROVINCES BY SECTOR

Autoři: BAŞDEĞİRMEN, Agah YALÇINER ÇAL, Damla

Zdroj: Volume: 10, Issue: 28 409-429
Hak İş Uluslararası Emek ve Toplum Dergisi

Témata: Clustering Analysis, Canopy Clustering Algorithm, Workplaces and Compulsory Policyholders, 8. Economic growth, Kümeleme Analizi, Kanopi Kümeleme Algoritması, İşyerleri ve Zorunlu Sigortalılar, Yöneylem, Operation

Popis souboru: application/pdf

Přístupová URL adresa: https://dergipark.org.tr/tr/pub/hakisderg/issue/68478/921647

An Improved Pheromone-Based Kohonen Self- Organising Map in Clustering and Visualising Balanced and Imbalanced Datasets

Autoři: Azlin Alisa Ahmad Rubiyah Yusof Nor Saradatul Akmar Zulkifli a další

Zdroj: Journal of ICT, Vol 20, Iss 4, Pp 651-676 (2021)

Témata: Artificial intelligence, optimisation, QA75 Electronic computers. Computer science, Information technology, 02 engineering and technology, Self-organizing map, Pattern recognition (psychology), pheromone, Clustering Algorithms, Cluster analysis, QA76 Computer software, Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Canopy clustering algorithm, Data mining, Self-Organizing Maps, Data Clustering Techniques and Algorithms, Correlation clustering, kohonen self-organising map, Neural Network Fundamentals and Applications, T58.5-58.64, Semi-supervised Clustering, Computer science, Process (computing), Operating system, Computer Science, Physical Sciences, imbalanced data, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Stream Data Clustering, clustering

Popis souboru: application/pdf

Přístupová URL adresa: http://e-journal.uum.edu.my/index.php/jict/article/download/jict2021.20.4.8/3363
https://doaj.org/article/b4ef1cbed8864543bba0d4416668304e

Analysis of Eye Tracking images to identify children with Autism Spectrum Disorder

Autoři: Hai Nguyen Ngan Tuyet Tang Trinh Nguyen a další

Zdroj: Science & Technology Development Journal - Engineering and Technology.

Témata: Eye tracking, Eye movement, Artificial intelligence, Developmental psychology, Cognitive Neuroscience, Autism, 4. Education, Life Sciences, Correlation clustering, DBSCAN, Computer science, 3. Good health, FOS: Psychology, Autism Spectrum Disorders, Cluster analysis, Emotion Recognition, Cognitive psychology, Psychology, Perception, Autism spectrum disorder, Canopy clustering algorithm, 10. No inequality, Neuroscience