Search Results - "Fuzzy KMeans Clustering algorithm"

Empirical analysis of the impact of financial development on the income gap between urban and rural residents in the context of large data using fuzzy Kmeans clustering algorithm.

Authors: Li, Yao¹ (AUTHOR) liyao1005@163.com

Source: International Journal of Electrical Engineering Education. Oct2025, Vol. 62 Issue 4, p354-369. 16p.

Subject Terms: *INCOME gap, *ECONOMIC development, *PANEL analysis, *FUZZY clustering technique, *CITY dwellers, *BIG data, *WEALTH inequality, *RURAL Americans

AI integration in financial services: a systematic review of trends and regulatory challenges.

Authors: Vuković, Darko B. Dekpo-Adza, Senanu Matović, Stefana

Source: Humanities & Social Sciences Communications; 4/22/2025, Vol. 12 Issue 1, p1-29, 29p

Subject Terms: NATURAL language processing, FINANCIAL inclusion, ARTIFICIAL intelligence, MACHINE learning, FRAUD investigation, SCIENTOMETRICS, INSURANCE crimes

PUBLISHER'S NOTE.

Source: International Journal of Electrical Engineering Education; 2023 Supplement, Vol. 60, p544-550, 7p

Subject Terms: ELECTRICAL engineering education, CENTRAL business districts

EXPRESSION OF CONCERN.

Source: International Journal of Electrical Engineering Education; 2023 Supplement, Vol. 60, p514-543, 30p

Subject Terms: COMPOSITE columns, ELECTRICAL engineering education, PARTICLE swarm optimization, MACHINE learning, MENTAL health of college students

Promoting or Inhibiting? Digital Inclusive Finance and Cultural Consumption of Rural Residents.

Authors: Shi, Yuting Cheng, Qiuwang Wu, Yizhen et al.

Source: Sustainability (2071-1050); Feb2023, Vol. 15 Issue 3, p2719, 21p

Regional inequality of resident income and its determinants: A case study of Zhejiang Province, China.

Authors: Zhang, Qinchen

Source: GeoJournal; Oct2022, Vol. 87 Issue 5, p3655-3668, 14p

Subject Terms: INCOME inequality, REGIONAL disparities, DISPOSABLE income, INCOME, ECONOMIC systems, TECHNOLOGICAL innovations

Geographic Terms: ZHEJIANG Sheng (China)

Fast Fuzzy Clustering Based on Anchor Graph.

Authors: Nie, Feiping Liu, Chaodie Wang, Rong et al.

Source: IEEE Transactions on Fuzzy Systems; Jul2022, Vol. 30 Issue 7, p2375-2387, 13p

Subject Terms: QUADRATIC programming, FUZZY graphs, FUZZY algorithms, MATHEMATICAL optimization, ANCHORS, ALGORITHMS, PRIOR learning

Detection Covid-19 by Image Segmentation Ct Based on Artificial Intelligent Technique.

Authors: Lavanya, E. Pradeepa, S.

Source: Journal of Algebraic Statistics; 2022, Vol. 13 Issue 3, p5409-5418, 10p

Subject Terms: CORONAVIRUS diseases, IMAGE segmentation, EDGE detection (Image processing), ARTIFICIAL intelligence, X-ray imaging, COMPUTED tomography

Assessing and Comparing Interpretability Techniques for Artificial Neural Networks Breast Cancer Classification.

Authors: Hakkoum, Hajar Idri, Ali Abnane, Ibtissam

Source: Computer Methods in Biomechanics & Biomedical Engineering: Imaging & Visualisation; Dec 2021, Vol. 9 Issue 6, p587-599, 13p

Subject Terms: BREAST cancer, DATA mining, ARTIFICIAL intelligence, MACHINE learning, ARTIFICIAL neural networks

Hybrid method for short-term photovoltaic power forecasting based on deep convolutional neural network.

Authors: Haixiang Zang Lilin Cheng Tao Ding et al.

Source: IET Generation, Transmission & Distribution (Wiley-Blackwell); 2018, Vol. 12 Issue 20, p4557-4567, 11p, 5 Diagrams, 9 Charts, 8 Graphs

Subject Terms: PHOTOVOLTAIC power systems, ELECTRIC power consumption, SUPPLY & demand, ARTIFICIAL neural networks, PHOTOVOLTAIC power generation

A comparative study of various clustering techniques on big data sets using Apache Mahout.

Authors: Eluri, Venkateswara Reddy Ramesh, M. Al-Jabri, Amina Salim Mohd et al.

Source: 2016 3rd MEC International Conference on Big Data & Smart City (ICBDSC); 2016, p1-4, 4p

Discrimination and localization method of vehicles in the foggy environment based on fuzzy k-means algorithm.

Authors: Zhang, ShangYi Sun, YaWen Long, ZhenFeng et al.

Source: Proceedings of SPIE; 9/2/2023, Vol. 12642, p1264221-1264221, 1p

A Weight-Adaptive Laplacian Embedding for Graph-Based Clustering.

Authors: De Cheng Feiping Nie Jiande Sun et al.

Source: Neural Computation; Jul2017, Vol. 29 Issue 7, p1902-1918, 17p, 6 Charts, 2 Graphs

Subject Terms: LAPLACIAN matrices, ENTROPY, ALGORITHMS, FUZZY systems, MATHEMATICAL optimization, GRAPHIC methods

An introduction to hesitant fuzzy data clustering.

Authors: Aliahmadipour, Laya Taghavi, Atefeh Eslami, Esfandiar

Source: 2015 4th Iranian Joint Congress on Fuzzy & Intelligent Systems (CFIS); 2015, p1-4, 4p

Clustering based image segmentation for elephant detection.

Authors: Vinod, Shilu Tresa Siva Mangai, N. M Abraham Chandy, D.

Source: 2014 International Conference on Electronics & Communication Systems (ICECS); 2014, p1-5, 5p

Risk Status Identification of Bus Driving Behavior Based on Clustering Analysis.

Authors: Wu, Zhizhou Chen, Tianzi Su, Quan

Source: CICTP 2014; 2014, p2576-2585, 10p

Detecting malicious tweets in trending topics using clustering and classification.

Authors: Soman, Saini Jacob Murugappan, S.

Source: 2014 International Conference on Recent Trends in Information Technology; 2014, p1-6, 6p

An enhanced agglomerative fuzzy k-means clustering method with mapreduce implementation on Hadoop platform.

Authors: Zhang, Ruixin Wang, Yinglin

Source: 2014 IEEE International Conference on Progress in Informatics & Computing; 2014, p509-513, 5p

A fuzzy clustering algorithm to detect criminals without prior information.

Authors: Fan, Changjun Xiao, Kaiming Xiu, Baoxin et al.

Source: 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis & Mining (ASONAM 2014); 2014, p238-243, 6p

Estimation of cluster centers on building roof from LiDAR footprints.

Authors: Kong, Deming Xu, Lijun Li, Xiaolu et al.

Source: 2012 IEEE International Conference on Imaging Systems & Techniques Proceedings; 1/ 1/2012, p254-258, 5p