Search Results - fast adaptive clustering algorithm

Algorithm of Adaptive Fast Clustering for Fish Swarm Color Image Segmentation

Authors: Longqing Sun Bing Luo Ting Liu et al.

Source: IEEE Access, Vol 7, Pp 178753-178762 (2019)

Subject Terms: Image segmentation, color compensation, color library, cluster value, K-Means++, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/8918238/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/92d839660e794b5d9278e0e41c6afb4c

A Fast Adaptive Millimeter-Wave Radar Clustering Algorithm.

Authors: Sang, Yingjun Teng, Teng Yu, Qingyuan et al.

Source: International Journal of Pattern Recognition & Artificial Intelligence; Mar2024, Vol. 38 Issue 4, p1-21, 21p

Subject Terms: RADAR targets, RADAR, MULTICASTING (Computer networks), POINT cloud, SEARCH algorithms, ALGORITHMS, TABU search algorithm

An Improved Density-Based Spatial Clustering of Applications with Noise Algorithm with an Adaptive Parameter Based on the Sparrow Search Algorithm

Authors: Zicheng Huang Zuopeng Liang Shibo Zhou et al.

Source: Algorithms, Vol 18, Iss 5, p 273 (2025)

Subject Terms: DBSACN algorithm, adaptive parameter, sparrow optimization algorithm, data mining, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.mdpi.com/1999-4893/18/5/273; https://doaj.org/toc/1999-4893

Access URL: https://doaj.org/article/15f8450879624c71a123279b3c9b2d35

Adaptive Markov Clustering Algorithm for Optimal Event Detection From Heterogeneous News Documents

Authors: Wafa Zubair Al-Dyani

Source: IEEE Access, Vol 12, Pp 72079-72097 (2024)

Subject Terms: Adaptive BBA, Markov clustering (MCL), event detection (ED) methods, wrapper methods, heterogeneous news, adaptive techniques, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/10535161/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/fe89d54f4b8f4a53ac46db010dfce9d0

Robust and Fast Point Cloud Registration for Robot Localization Based on DBSCAN Clustering and Adaptive Segmentation

Authors: Haibin Liu Yanglei Tang Huanjie Wang

Source: Sensors, Vol 24, Iss 24, p 7889 (2024)

Subject Terms: robot localization, point cloud registration, normal distribution transform (NDT), density-based spatial clustering of applications with noise (DBSCAN), clustering and segmentation, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/24/7889; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/ea94c6bf9ec74ee2893a878d63220d29

Fast UOIS: Unseen Object Instance Segmentation with Adaptive Clustering for Industrial Robotic Grasping

Authors: Kui Fu Xuanju Dang Qingyu Zhang et al.

Source: Actuators, Vol 13, Iss 8, p 305 (2024)

Subject Terms: adaptive clustering, unseen object instance segmentation, robotic grasping, Materials of engineering and construction. Mechanics of materials, TA401-492, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

File Description: electronic resource

Relation: https://www.mdpi.com/2076-0825/13/8/305; https://doaj.org/toc/2076-0825

Access URL: https://doaj.org/article/3dc20ed079df4660a99aab92c38aa66d

Optimizing the Mean Shift Algorithm for Efficient Clustering

Authors: Rustam Mussabayev Alexander Krassovitskiy Meruyert Aristombayeva

Source: Mathematics, Vol 13, Iss 21, p 3408 (2025)

Subject Terms: Mean Shift clustering, Fast Mean Shift, acceleration strategies, optimization techniques, kernel density estimation, theoretical analysis, Mathematics, QA1-939

File Description: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/21/3408; https://doaj.org/toc/2227-7390

Access URL: https://doaj.org/article/69654e665c784141b7510e8dc7e01345

Fast clustering algorithm based on MST of representative points

Authors: Hui Du Depeng Lu Zhihe Wang et al.

Source: Mathematical Biosciences and Engineering, Vol 20, Iss 9, Pp 15830-15858 (2023)

Subject Terms: minimum spanning tree, inconsistent edges, mutual neighbors, clustering, density, Biotechnology, TP248.13-248.65, Mathematics, QA1-939

File Description: electronic resource

Relation: https://doaj.org/toc/1551-0018

Access URL: https://doaj.org/article/412cc9b7803b4ce395e2eab2d10a1773

Fast Adaptive K-Means Subspace Clustering for High-Dimensional Data

Authors: Xiao-Dong Wang Rung-Ching Chen Fei Yan et al.

Source: IEEE Access, Vol 7, Pp 42639-42651 (2019)

Subject Terms: Dimension reduction, feature selection, K-means, discriminative embedded clustering, adaptive learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/8672861/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/c9d12d5c13bf411b808c8852b82cfd7b

Ball $k$ k -Means: Fast Adaptive Clustering With No Bounds.

Authors: Xia, Shuyin Peng, Daowan Meng, Deyu et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; Jan2022, Vol. 44 Issue 1, p87-99, 13p

Subject Terms: CENTROID, APPROXIMATION algorithms, PARALLEL algorithms

BRAIN TUMOR SEGMENTATION BASED ON SUPERPIXELS AND HYBRID CLUSTERING WITH FAST GUIDED FILTER.

Authors: ZHANG, CHONG SHEN, XUANJING CHEN, HAIPENG

Source: Journal of Mechanics in Medicine & Biology; Aug2020, Vol. 20 Issue 6, pN.PAG-N.PAG, 18p

Subject Terms: BRAIN tumors, BRAIN cancer diagnosis, ALGORITHMS, ADAPTIVE filters, MAGNETIC resonance, IMAGE segmentation

Classic action recognition of cross-country skiing sports combining ant colony and clustering algorithm.

Authors: Yu, Hongbo Li, Yuanhui

Source: BMC Sports Science, Medicine & Rehabilitation; 11/13/2025, Vol. 17 Issue 1, p1-15, 15p

Subject Terms: CROSS-country skiing, ANT algorithms, CLUSTERING algorithms, HUMAN activity recognition, SPORTS & technology, ATHLETIC ability, K-means clustering

Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means Algorithm

Authors: Liang Chen Weinan Wang Yuyao Zhai et al.

Source: Frontiers in Genetics, Vol 11 (2020)

Subject Terms: single-cell RNA sequencing, UMI count data, deep autoencoder, statistical modeling, adaptive fuzzy k-means clustering, Genetics, QH426-470

File Description: electronic resource

Relation: https://www.frontiersin.org/article/10.3389/fgene.2020.00295/full; https://doaj.org/toc/1664-8021

Access URL: https://doaj.org/article/1c61d0a5fe974944931cf010514ffac3

Fuzzy C‐means clustering algorithm based on superpixel merging and multi‐feature adaptive fusion measurement.

Authors: Zeyu, Xie Xiao, Luo Defang, Zhao et al.

Source: IET Image Processing (Wiley-Blackwell); 1/10/2024, Vol. 18 Issue 1, p140-153, 14p

Subject Terms: PIXELS, IMAGE segmentation, ALGORITHMS, FUZZY algorithms, BRAIN tumors, INFORMATION measurement, INFORMATION resources

Unsupervised Multivariate Feature-Based Adaptive Clustering Analysis of Epileptic EEG Signals.

Authors: Du, Yuxiao Li, Gaoming Wu, Min et al.

Source: Brain Sciences (2076-3425); Apr2024, Vol. 14 Issue 4, p342, 17p

Subject Terms: CLUSTER analysis (Statistics), EPILEPSY, ELECTROENCEPHALOGRAPHY, PEOPLE with epilepsy, BRAIN-computer interfaces, CLASSIFICATION algorithms, CLINICAL prediction rules, PATIENT monitoring

An Adaptive Ellipse Distance Density Peak Fuzzy Clustering Algorithm Based on the Multi-target Traffic Radar

Authors: Lin Cao Xinyi Zhang Tao Wang et al.

Source: Sensors, Vol 20, Iss 17, p 4920 (2020)

Subject Terms: multi-target traffic radar scene, adaptive ellipse distance, decision diagram, density peak point, fuzzy clustering, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/20/17/4920; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/aaf6e8d5199f4af0b3a4f1757c5d5599

Spatiotemporal Classification of Short-Duration Heavy Rainfall in Beijing Using K-Shape Clustering.

Authors: Qiu, Zefeng Wu, Binbin Chu, Qi et al.

Source: Water (20734441); Apr2025, Vol. 17 Issue 7, p968, 34p

Subject Terms: CLUSTERING algorithms, RAINFALL, CITIES & towns, FLOODS, EXPERTISE

Adaptive Clustering Algorithm Based on Max-min Distance and Bayesian Decision Theory.

Authors: Fengqin Zhao Youlong Yang Weiwei Zhao

Source: IAENG International Journal of Computer Science. May2017, Vol. 44 Issue 2, p64-71. 8p.

Subject Terms: K-means clustering, Algorithms, Bayesian analysis, Decision theory, Problem solving

ST-ADPTC: a method for clustering spatiotemporal raster data based on improved density peak detection.

Authors: Song, Jie Yue, Songshan Chen, Min et al.

Source: International Journal of Geographical Information Science. Sep2024, Vol. 38 Issue 9, p1728-1750. 23p.

Subject Terms: *Algorithms, Forest density, K-nearest neighbor classification, Socioeconomic factors, Neighborhoods

Trust-aware and improved density peaks clustering algorithm for fast and secure models in wireless sensor networks.

Authors: Han, Youjia Wang, Huibin Li, Yueheng et al.

Source: Pervasive & Mobile Computing. Dec2024, Vol. 105, pN.PAG-N.PAG. 1p.

Subject Terms: Trust, Wireless sensor networks, Collusion, Algorithms