Suchergebnisse - "Clustering Algorithm"

Sequential adding clustering algorithm

Autoren: Costa, M. Fernanda P. Rocha, Ana Maria A. C. Fernandes, Edite Manuela da G. P. et al.

Weitere Verfasser: Costa, M. Fernanda P. Rocha, Ana Maria A. C. Fernandes, Edite Manuela da G. P. et al.

Dateibeschreibung: application/pdf

Relation: 0094-243X

Verfügbarkeit: https://hdl.handle.net/1822/87583

Image clustering algorithm and psychological perception in historical building colour rating research: A case study of Guangzhou, China

Autoren: Tianyi Fan Xiaoxiang Tang Kerun Li

Quelle: Frontiers of Architectural Research, Vol 14, Iss 5, Pp 1415-1435 (2025)

Schlagwörter: Subjective evaluation, Architecture, Image clustering algorithm, Guangzhou area, Hierarchical structure, Colour perception, NA1-9428

Zugangs-URL: https://doaj.org/article/e8ff9b8ba44141daa0656c64dfb0eb1e

Automatic motion recognition technology based on fuzzy clustering algorithm and VR video image

Autoren: Ganbin Xu Jianwei Lin

Quelle: Alexandria Engineering Journal, Vol 124, Iss, Pp 462-469 (2025)

Schlagwörter: Image segmentation, Video images, Fuzzy clustering algorithm, TA1-2040, Engineering (General). Civil engineering (General), Automatic recognition, Virtual reality

Zugangs-URL: https://doaj.org/article/442c80251af94d4697b5262cdc65b944

Fast Density Peaks Clustering Algorithm Based on Approximate k-Nearest Neighbors

Autoren: Shifei Ding Chao Li Xiao Xu et al.

Quelle: IEEE Transactions on Knowledge and Data Engineering. 37:5878-5889

Novel Multiple Criteria Group Decision-Making Method Based on Hesitant Fuzzy Clustering Algorithm

Autoren: Hongya Bian Deqing Li Yuang Liu et al.

Quelle: IEEE Access, Vol 13, Pp 15572-15584 (2025)

Schlagwörter: feature vector of HFN, Hesitant fuzzy number, hesitant fuzzy clustering algorithm, Electrical engineering. Electronics. Nuclear engineering, multiple criteria group decision making, TK1-9971

Zugangs-URL: https://doaj.org/article/6f62569ab8264638a753ba8bdc43883f

PMWFCM: A Possibility based MultiKernel Weighted Fuzzy Clustering Algorithm for classification of driving behaviors

Autoren: Ning Ma Kaijun Wu Yubin Yuan et al.

Quelle: Alexandria Engineering Journal, Vol 113, Iss, Pp 249-261 (2025)

Schlagwörter: Traffic driving assessment, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Kernel function, Fuzzy clustering algorithm, Possibilistic fuzzy clustering, 02 engineering and technology, TA1-2040, Engineering (General). Civil engineering (General), 01 natural sciences

Zugangs-URL: https://doaj.org/article/43cb12dcf3a14505be449c45f340a853

An improved target clustering algorithm for adaptive design of repeat ground track constellations

Autoren: Yao Xiao Shuai Guo Zhen Yang et al.

Quelle: Acta Astronautica. 238:525-542

A Multi-Dimensional Customer Segmentation Model Using The Fuzzy C-Means Clustering Algorithm: A Pilot Study In The B2B Setting

Autoren: Bahar Taşar

Quelle: Anadolu Üniversitesi Sosyal Bilimler Dergisi. 25:212-229

Clustering Customer’s Internet Subscriptions in Apartment Using K-Means Clustering Algorithm

Autoren: Sayuti Chow Berman Hutabarat Damara Sirya et al.

Quelle: AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis. 5:1396-1407

Development of a clustering algorithm for parameters of explosive objects based on a comprehensive indicator

Autoren: O Laktionov A Yanko N Pedchenko

Quelle: Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. :160-167

Residual Energy-Aware Fuzzy-Based Clustering Algorithm for Underwater Wireless Sensor Networks

Autoren: Sorav Kumar Singh Alak Roy Rajneesh Raushan

Quelle: JUCS - Journal of Universal Computer Science. 31:1042-1079

Study of Awareness Patterns of Credit Card Users towards Ads with K-Means Clustering Algorithm

Autoren: Rizki Hesananda Alfi Prabowo

Quelle: Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa & Inovasi. :123-132

Application of Improved Clustering Algorithm in Blended Teaching of Digital Electronic Technology Under the Context of 'Internet+'

Autoren: Wenming Wang Guijiang Liu Deyang Liu et al.

Quelle: International Journal of Information and Communication Technology Education. 21:1-14

BaBaLU: A Bawal Bastos Law among University Stakeholders Leading Towards Safe Spaces Using K-Means Clustering Algorithm

Autoren: Joy Peji

Quelle: Business, Education, Social Sciences, and Technology. 1:137-144

An Energy-oriented Path Optimization of Mobile Sink using ESCVAD Routing Protocol based on Voronoi Clustering Algorithm

Autoren: Angelica Grace Simbran Ralph Voltaire Dayot Nikie Jo Deocampo

Quelle: Business, Education, Social Sciences, and Technology. 1:119-124

APPROACH OF AGGLOMERATIVE CLUSTERING ALGORITHM FOR DEEP LEARNING-BASED SPATIAL AND TEMPORAL ROAD TRAFFIC DATA ANALYSIS

Autoren: Kavita Gudadhe null Divya Rohatgi null Sonali. A. Pakhmode-Lohbare et al.

Quelle: Lex localis - Journal of Local Self-Government. 23:46-62

K-Means Clustering Algorithm Measuring the Satisfaction Level of MNC TV Muslim I'murojaah Program Viewers

Autoren: Herayati Herayati Andronias Siregar Hariyanto Hariyanto

Quelle: J-Intech (Journal of Information and Technology), Vol 13, Iss 01 (2025)

Schlagwörter: Audience Satisfaction, I'Muorjaah Program, K-means Clustering, General Works

Zugangs-URL: https://doaj.org/article/2fe94d4db4e946d89c745fcda31aba4e

Grouping Runners Based on Three-Dimensional Ankle Joint Angles Using a Deep Temporal Clustering Algorithm

Autoren: Zaniar Mohamadi Mansour Eslami Rohollah Yousefpour

Quelle: Scientific Journal of Rehabilitation Medicine. 14:418-433

Extraction and Application of Color Genes of Brand Leather Goods based on K-Means Clustering Algorithm

Autoren: Xunxin WU Zhen QIN

Quelle: Pige Kexue Yu Gongcheng, Vol 35, Iss 6, Pp 113-120 (2025)

Schlagwörter: k-means, clustering algorithm, color, color genes, intelligent design, leather goods, leather goods design, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1004-7964

Zugangs-URL: https://doaj.org/article/1f36475ff6294086b1fb05b6d11da36f

An energy efficient clustering algorithm based on density and fitness for mobile crowd-sensing network

Autoren: Hao Li Hongwei Wang Kaiyu Wang et al.

Quelle: Journal of Engineering Research. 13:2381-2391

Schlagwörter: MCLEC, публикации ученых, еnergy efficien, internet of things, сlustering algorithm, mobile applications

Dateibeschreibung: application/pdf