Suchergebnisse - spatial clustering algorithm AND obstacles
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A Novel Artificial Immune Algorithm for Spatial Clustering with Obstacle Constraint and Its Applications
ISSN: 1687-5265, 1687-5273, 1687-5273Veröffentlicht: Cairo, Egypt Hindawi Limiteds 01.01.2014Veröffentlicht in Computational Intelligence and Neuroscience (01.01.2014)“… ) algorithm for clustering spatial point data in the presence of obstacles and facilitators …”
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Adaptive spatial clustering in the presence of obstacles and facilitators
ISSN: 0098-3004, 1873-7803Veröffentlicht: Elsevier Ltd 01.07.2013Veröffentlicht in Computers & geosciences (01.07.2013)“… ) is proposed in this paper, and an adaptive spatial clustering algorithm, called ASCDT+, is also developed. The ASCDT+ algorithm can take both obstacles and facilitators …”
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Spatial clustering algorithm with obstacles constraints by quantum particle swarm optimization and K-Medoids
ISBN: 9781424477050, 1424477050Veröffentlicht: IEEE 01.09.2010Veröffentlicht in 2010 Second International Conference on Computational Intelligence and Natural Computing (01.09.2010)“… After analyzed the existing algorithms of spatial clustering with obstacles constraints, the paper proposed a new spatial clustering algorithm with obstacles constraints combined QPSO with K-Medoids, which named QKSCO …”
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Algorithm for Spatial Clustering with Obstacles
ISSN: 2331-8422Veröffentlicht: Ithaca Cornell University Library, arXiv.org 24.09.2009Veröffentlicht in arXiv.org (24.09.2009)“… In this paper, we propose an efficient clustering technique to solve the problem of clustering in the presence of obstacles …”
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An improved DBSCAN Algorithm for hazard recognition of obstacles in unmanned scenes
ISSN: 1432-7643, 1433-7479Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023Veröffentlicht in Soft computing (Berlin, Germany) (01.12.2023)“… In view of the complexity of obstacle danger identification, this research paper designs an improved Density-Based Spatial Clustering of Applications with Noise (DBSCAN …”
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Clustering with obstacles for Geographical Data Mining
ISSN: 0924-2716, 1872-8235Veröffentlicht: Elsevier B.V 01.08.2004Veröffentlicht in ISPRS journal of photogrammetry and remote sensing (01.08.2004)“… Clustering algorithms typically use the Euclidean distance. However, spatial proximity is dependent on obstacles, caused by related information in other layers of the spatial database …”
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A LiDAR based obstacle detection framework for railway
ISSN: 2100-014X, 2101-6275, 2100-014XVeröffentlicht: Les Ulis EDP Sciences 01.01.2024Veröffentlicht in EPJ Web of conferences (01.01.2024)“… Obstacle detection on the railway, a crucial operational safety concern, is a complex task that encompasses a multitude of challenges …”
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Grid-Based Hierarchical Spatial Clustering Algorithm in Presence of Obstacle and Constraints
ISSN: 2330-9857Veröffentlicht: IEEE 01.01.2008Veröffentlicht in International Conference on Internet Computing for Science and Engineering (01.01.2008)“… Most of the existing spatial clustering algorithm in presence of obstacles and constraints can't cluster with irregular obstacles and the veracity of clustering result is affected …”
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A Novel Spatial Clustering with Obstacles Constraints Based on Genetic Algorithms and K-Medoids
ISBN: 0769525288, 9780769525280ISSN: 2164-7143Veröffentlicht: IEEE 01.10.2006Veröffentlicht in Sixth International Conference on Intelligent Systems Design and Applications (01.10.2006)“… In this paper, we discuss the problem of spatial clustering with obstacles constraints and propose a novel spatial clustering method based on genetic algorithms (GAs …”
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Kernel Sparse Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote Sensing Data Interpretation
ISSN: 2072-4292, 2072-4292Veröffentlicht: Basel MDPI AG 01.04.2017Veröffentlicht in Remote sensing (Basel, Switzerland) (01.04.2017)“… In this paper, to overcome these obstacles, we present a new kernel sparse subspace clustering algorithm with a spatial max pooling operation (KSSC-SMP …”
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Autonomous Navigation of Quadrotors in Dynamic Complex Environments
ISSN: 0278-0046, 1557-9948Veröffentlicht: New York IEEE 01.03.2025Veröffentlicht in IEEE transactions on industrial electronics (1982) (01.03.2025)“… The density-based spatial clustering of applications with noise (DBSCAN) algorithm is employed to extract the positions and velocities of dynamic obstacles within the environment …”
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Object Detection and Tracking System with Improved DBSCAN Clustering using Radar on Unmanned Surface Vehicle
ISSN: 2642-3901Veröffentlicht: ICROS 12.10.2021Veröffentlicht in International Conference on Control, Automation and Systems (Online) (12.10.2021)“… This paper proposes an algorithm for detecting close obstacles with FMCW radar using the clustering method …”
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A Dynamic Clustering Algorithm for Lidar Obstacle Detection of Autonomous Driving System
ISSN: 1530-437X, 1558-1748Veröffentlicht: New York IEEE 15.11.2021Veröffentlicht in IEEE sensors journal (15.11.2021)“… For adaption to this spatial non-uniformity, a dynamic clustering algorithm is proposed based on the spatial distribution analysis of the point cloud along different directions …”
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Genetic K-Medoids Spatial Clustering with Obstacles Constraints
ISBN: 9781424401956, 142440195XISSN: 1541-1672Veröffentlicht: IEEE 01.09.2006Veröffentlicht in 2006 3rd International IEEE Conference Intelligent Systems (01.09.2006)“… Spatial clustering is an important research topic in spatial data mining (SDM). It is not only an important effective method but also a prelude of other task for SDM …”
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Assessment algorithm of power supply reliability for customers in rural healthcare centres
ISSN: 1462-8732, 1478-565XVeröffentlicht: London thinkBiotech LLC 01.12.2022Veröffentlicht in Journal of commercial biotechnology (01.12.2022)“… In addition to ANNs, an optimization algorithm based on Density …”
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Design and Test of Obstacle Detection and Harvester Pre-Collision System Based on 2D Lidar
ISSN: 2073-4395, 2073-4395Veröffentlicht: Basel MDPI AG 28.01.2023Veröffentlicht in Agronomy (Basel) (28.01.2023)“… (density-based spatial clustering of applications with noise) to identify the obstacle and calculate of the collision time according to the 6σ principle …”
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The study on immune spatial clustering model based on obstacle
ISBN: 0780384032, 9780780384033Veröffentlicht: IEEE 2004Veröffentlicht in Proceedings of 2004 International Conference on Machine Learning and Cybernetics : August 6-29, 2004, Worldfield Convention Hotel, Shanghai, China (2004)“… The problem of clustering in the presence of obstacles was studied and defined. As a solution to this problem and based on K-medoids, a scalable new clustering algorithm, called immune spatial clustering model based on obstacle was proposed …”
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Clustering Algorithm of Uncertain Data in Obstacle Space
ISSN: 1673-9418Veröffentlicht: 01.12.2012Veröffentlicht in Jisuanji Kexue yu Tansuo / Journal of Computer Science and Frontiers (01.12.2012)“… The existence of obstacles in space brings the new challenges to spatial uncertain data clustering …”
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Detection of Side Wall Protrusions in Highway Tunnel Based on LiDAR
ISSN: 2688-0938Veröffentlicht: IEEE 25.11.2022Veröffentlicht in Chinese Automation Congress (Online) (25.11.2022)“… (RG) algorithm and the improved Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm …”
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A mean shift algorithm incorporating reachable distance for spatial clustering
ISSN: 0020-0255Veröffentlicht: Elsevier Inc 01.01.2025Veröffentlicht in Information sciences (01.01.2025)“… Spatial clustering is a widely used technique in spatial analysis that groups similar objects together based on their proximity in space …”
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