Výsledky vyhledávání - Non-iterative clustering algorithm*

Automated Individual Tree Crown Detection and Segmentation using Simple Non-Iterative Clustering (SNIC) Algorithms and High-Resolution LiDAR

Autoři: Prajwol Babu Subedi Hamdi A. Zurqani Michael A. Blazier a další

Zdroj: 2025 IEEE Conference on Technologies for Sustainability (SusTech). :1-8

A New Texture Aware—Seed Demand Enhanced Simple Non-Iterative Clustering (ESNIC) Segmentation Algorithm for Efficient Land Use and Land Cover Mapping on Remote Sensing Images

Autoři: Rohini Selvaraj D. Geraldine Bessie Amali

Zdroj: IEEE Access. 12:121208-121222

Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms in Google Earth Engine

Autoři: Yue Chen Weili Kou Wenna Miao a další

Zdroj: Remote Sensing, Vol 17, Iss 5, p 741 (2025)

Témata: Landsat 8, MODIS, Science, geographic object-based image analysis (GEOBIA), Sentinel-2, burned forest areas

Přístupová URL adresa: https://doaj.org/article/0e69e896c3aa4c04ba44bbd9a8c79012

Comparison of boosting algorithms for land cover mapping using object-based classification

Autoři: Ngoc Dung LUONG Thanh Dong KHUC Dinh Chieu VU

Zdroj: Revista de Teledetección, Iss 67 (2025)

Témata: land cover, boosting algorithms, simple non-iterative clustering, object-based classification, sentinel-2 data, Geography (General), G1-922

Popis souboru: electronic resource

Relation: https://polipapers.upv.es/index.php/raet/article/view/24531; https://doaj.org/toc/1133-0953; https://doaj.org/toc/1988-8740

Přístupová URL adresa: https://doaj.org/article/55b31faf24804654996734d245c23e62

Non-iterative border-peeling clustering algorithm based on swap strategy

Autoři: Hui Tu Shifei Ding Xiao Xu a další

Zdroj: Information Sciences. 654:119864

Agricultural Field Boundary Detection through Integration of 'Simple Non-Iterative Clustering (SNIC) Super Pixels' and 'Canny Edge Detection Method'

Autoři: Gayibov, Artughrul

Témata: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, 68U10, 62H35, I.4.6, I.5.4, text

URL: http://arxiv.org/abs/2502.04529

基于自然和加权共享最近邻的密度峰值聚类算法. (Chinese)

Alternate Title: Density Peak Clustering Algorithm Based on Natural and Weighted Shared Nearest Neighbors. (English)

Autoři: 王 森 陈 翔 詹小秦 a další

Zdroj: Journal of East China Jiaotong University; Aug2025, Vol. 42 Issue 4, p120-126, 7p

Témata: CLUSTERING algorithms, CENTROID, PROBABILITY density function, DATA structures

A new multitarget tracking approach based on a non-iterative fuzzy clustering means algorithm

Autoři: Ashraf M. Aziz

Zdroj: 2015 IEEE Aerospace Conference. :1-10

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Přístupová URL adresa: http://ieeexplore.ieee.org/document/7119236/
https://ieeexplore.ieee.org/document/7119236/

Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms in Google Earth Engine.

Autoři: Chen, Yue Kou, Weili Miao, Wenna a další

Zdroj: Remote Sensing; Mar2025, Vol. 17 Issue 5, p741-1, 24p

Témata: RANDOM forest algorithms, FOREST fires, LANDSAT satellites, FOREST mapping, IMAGE analysis

Fast Segmentation of Vertebrae CT Image Based on the SNIC Algorithm

Autoři: Bing Li Shaoyong Wu Siqin Zhang a další

Zdroj: Tomography
Tomography, Vol 8, Iss 1, Pp 59-76 (2022)
Tomography; Volume 8; Issue 1; Pages: 59-76

Témata: medical image segmentation, simple non-iterative clustering, Computer applications to medicine. Medical informatics, R858-859.7, superpixel, 02 engineering and technology, Article, Spine, 03 medical and health sciences, 0302 clinical medicine, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Cluster Analysis, Tomography, X-Ray Computed, Algorithms

Popis souboru: application/pdf

Přístupová URL adresa: https://www.mdpi.com/2379-139X/8/1/6/pdf
https://pubmed.ncbi.nlm.nih.gov/35076637
https://doaj.org/article/76eeb88d01624a35ab6befc8abced6a7

AN UNSUPERVISED-SUPERVISED ENSEMBLE TECHNOLOGY WITH NON-ITERATIVE TRAINING ALGORITHM FOR SMALL BIOMEDICAL DATA ANALYSIS

Autoři: Ivan IZONIN

Zdroj: Computer systems and information technologies. :67-74

A novel approach for the segmentation of retinal images by integration K-means clustering algorithm with graph cut for image segmentation.

Autoři: Bhoopalan, Ramasubramanian Priyadharshini, S.

Zdroj: Scientific Reports; 10/15/2025, Vol. 15 Issue 1, p1-13, 13p

Témata: K-means clustering, DIABETIC retinopathy, IMAGE segmentation, EDGE detection (Image processing), MEDICAL technology, IMAGE enhancement (Imaging systems), EYE examination

A New Algorithm for the Global-Scale Quantification of Volcanic SO 2 Exploiting the Sentinel-5P TROPOMI and Google Earth Engine.

Autoři: Dozzo, Maddalena Aiuppa, Alessandro Bilotta, Giuseppe a další

Zdroj: Remote Sensing. Feb2025, Vol. 17 Issue 3, p534. 22p.

Témata: *VOLCANIC hazard analysis, *K-means clustering, *SULFUR dioxide, *TIME series analysis, *COMPUTING platforms

A new non-iterative approach for clustering

Autoři: Ling-Hwei Chen Peng-Yeng Yin

Zdroj: Pattern Recognition Letters. 15:125-133

Témata: Clustering in the social and behavioral sciences, mean minimum distance, number of clusters, nearest neighbors, fixed-radius, Pattern recognition, speech recognition, noise cluster, 0202 electrical engineering, electronic engineering, information engineering, \(c\)-means algorithm, 02 engineering and technology, non-iterative clustering, 0204 chemical engineering, Computational methods for problems pertaining to biology

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/549416
https://doi.org/10.1016/0167-8655(94)90041-8
https://dblp.uni-trier.de/db/journals/prl/prl15.html#YinC94
https://www.sciencedirect.com/science/article/pii/0167865594900418
http://dblp.uni-trier.de/db/journals/prl/prl15.html#YinC94
http://ui.adsabs.harvard.edu/abs/1994PaReL..15..125Y/abstract
https://doi.org/10.1016/0167-8655(94)90041-8
https://ir.nctu.edu.tw:443/handle/11536/2642

Stokes space modulation format classification based on non-iterative clustering algorithm for coherent optical receivers

Autoři: Xiong Wu Jie Liu Mai Xiaofeng a další

Zdroj: Optics Express. 25:2038

Témata: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/29519052
https://www.ncbi.nlm.nih.gov/pubmed/29519052
https://www.osapublishing.org/oe/fulltext.cfm?uri=oe-25-3-2038&id=357678
https://pubmed.ncbi.nlm.nih.gov/29519052/
https://ui.adsabs.harvard.edu/abs/2017OExpr..25.2038M/abstract

Application-oriented Farsi license plate recognition using deterministic clustering algorithm and MSER detector

Autoři: Mohammad Mehdi Zeinali Sedigheh Ghofrani

Zdroj: Majlesi Journal of Electrical Engineering, Vol 10, Iss 2 (2024)

Témata: OCR, law enforcement, Deterministic clustering algorithm, License plate recognition, TA1-2040, Engineering (General). Civil engineering (General)

Přístupová URL adresa: https://doaj.org/article/70e0a82e15da430894a33ca0533017e0

Efficient Unsupervised Clustering of Hyperspectral Images via Flexible Multi-Anchor Graphs.

Autoři: Li, Yihong Wang, Ting Cao, Zhe a další

Zdroj: Remote Sensing; Aug2025, Vol. 7 Issue 15, p2647, 24p

Témata: HYPERSPECTRAL imaging systems, CLUSTERING algorithms, SPECTRUM analysis, PATTERN perception, IMAGE processing

A K-Means Clustering Algorithm with Total Bregman Divergence for Point Cloud Denoising.

Autoři: Duan, Xiaomin Mu, Anqi Zhao, Xinyu a další

Zdroj: Symmetry (20738994); Aug2025, Vol. 17 Issue 8, p1186, 21p

Témata: K-means clustering, POINT cloud, SIGNAL denoising, ROBOT vision, GEOMETRIC shapes, EMPIRICAL research

Density Clustering Algorithm Based on KD-Tree and Voting Rules.

Autoři: Hui Du Zhiyuan Hu Depeng Lu a další

Zdroj: Computers, Materials & Continua; 2024, Vol. 79 Issue 2, p3239-3259, 21p

Témata: CLUSTERING algorithms, K-nearest neighbor classification, VOTING, DENSITY, ADHESIVES

S2F: Border peeling clustering from cluster skeletons to final clusters.

Autoři: Zhang, Shuntai Wang, Yizhang Yang, Ming a další

Zdroj: Neurocomputing. Nov2025, Vol. 654, pN.PAG-N.PAG. 1p.

Témata: *CLUSTERING algorithms, *K-nearest neighbor classification, *UNDIRECTED graphs, *SKELETON, *TASK performance