Výsledky vyhľadávania - spatial clustering algorithm AND obstacles*

  1. 1

    A Novel Artificial Immune Algorithm for Spatial Clustering with Obstacle Constraint and Its Applications Autor Zhang, Ji, Ding, Xintao, Luo, Yonglong, Sun, Liping

    ISSN: 1687-5265, 1687-5273, 1687-5273
    Vydavateľské údaje: Cairo, Egypt Hindawi Limiteds 01.01.2014
    “…) algorithm for clustering spatial point data in the presence of obstacles and facilitators…”
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    Journal Article
  2. 2

    Spatial clustering algorithm with obstacles constraints by quantum particle swarm optimization and K-Medoids Autor Yang Teng-Fei, Zhang Xue-Ping

    ISBN: 9781424477050, 1424477050
    Vydavateľské údaje: IEEE 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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  3. 3

    Algorithm for Spatial Clustering with Obstacles Autor El-Sharkawi, Mohamed E, El-Zawawy, Mohamed A

    ISSN: 2331-8422
    Vydavateľské údaje: Ithaca Cornell University Library, arXiv.org 24.09.2009
    Vydané v arXiv.org (24.09.2009)
    “… The proposed algorithm divides the spatial area into rectangular cells. Each cell is associated with statistical information that enables us to label the cell as dense or non-dense…”
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    Paper
  4. 4

    Clustering with obstacles for Geographical Data Mining Autor Estivill-Castro, Vladimir, Lee, Ickjai

    ISSN: 0924-2716, 1872-8235
    Vydavateľské údaje: Elsevier B.V 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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    Journal Article
  5. 5

    Grid-Based Hierarchical Spatial Clustering Algorithm in Presence of Obstacle and Constraints Autor Yue Yang, Jian-pei Zhang, Jing Yang

    ISSN: 2330-9857
    Vydavateľské údaje: IEEE 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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  6. 6

    Adaptive spatial clustering in the presence of obstacles and facilitators Autor Liu, Qiliang, Deng, Min, Shi, Yan

    ISSN: 0098-3004, 1873-7803
    Vydavateľské údaje: Elsevier Ltd 01.07.2013
    Vydané v 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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    Journal Article
  7. 7

    A Novel Spatial Clustering with Obstacles Constraints Based on Genetic Algorithms and K-Medoids Autor Xueping Zhang, Jiayao Wang, Fang Wu, Zhongshan Fan, Xiaoqing Li

    ISBN: 0769525288, 9780769525280
    ISSN: 2164-7143
    Vydavateľské údaje: IEEE 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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  8. 8

    An improved DBSCAN Algorithm for hazard recognition of obstacles in unmanned scenes Autor Zhang, Wenying

    ISSN: 1432-7643, 1433-7479
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023
    Vydané v 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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    Journal Article
  9. 9

    A LiDAR based obstacle detection framework for railway Autor Dias, Susana, Sousa, Pedro, Afonso, Francisco, Viriato, Nuno, Tavares, Paulo, Moreira, Pedro

    ISSN: 2100-014X, 2101-6275, 2100-014X
    Vydavateľské údaje: Les Ulis EDP Sciences 01.01.2024
    Vydané v EPJ Web of conferences (01.01.2024)
    “… While Machine Learning (ML) algorithms are commonly employed in analogous applications such as autonomous car driving [1] [2…”
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  10. 10

    Detection of Side Wall Protrusions in Highway Tunnel Based on LiDAR Autor Jin, Jiaqi, Tan, Guanzheng, Xu, Degang

    ISSN: 2688-0938
    Vydavateľské údaje: IEEE 25.11.2022
    Vydané v 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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  11. 11

    Object Detection and Tracking System with Improved DBSCAN Clustering using Radar on Unmanned Surface Vehicle Autor Im, Soori, Kim, Donghoon, Cheon, Hoiyoung, Ryu, Jaekwan

    ISSN: 2642-3901
    Vydavateľské údaje: ICROS 12.10.2021
    “… Suggested algorithm compute spatial data from the Range-Doppler map given by FMCW radar. And apply Density-based spatial clustering of applications…”
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  12. 12

    RESEARCH ON AGRICULTURAL VEHICLE SAFETY WARNING SYSTEM BASED ON LIDAR Autor KONG, Weiyu, HU, Guangrui, ZHANG, Shuo, ZHOU, Jianguo, GAO, Zening, CHEN, Jun

    ISSN: 2068-4215, 2068-2239
    Vydavateľské údaje: 31.12.2022
    Vydané v INMATEH - Agricultural Engineering (31.12.2022)
    “… In this paper, a two-dimensional lidar is used to detect obstacles in front of tractors with the Density-Based Spatial Clustering of Applications with Noise(DBSCAN…”
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    Journal Article
  13. 13

    Autonomous Navigation of Quadrotors in Dynamic Complex Environments Autor Li, Ruocheng, Xin, Bin

    ISSN: 0278-0046, 1557-9948
    Vydavateľské údaje: New York IEEE 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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    Journal Article
  14. 14

    The study on immune spatial clustering model based on obstacle Autor Hai-Dong Yang, Fei-Qi Deng

    ISBN: 0780384032, 9780780384033
    Vydavateľské údaje: IEEE 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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  15. 15

    Kernel Sparse Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote Sensing Data Interpretation Autor Zhai, Han, Zhang, Hongyan, Xu, Xiong, Zhang, Liangpei, Li, Pingxiang

    ISSN: 2072-4292, 2072-4292
    Vydavateľské údaje: Basel MDPI AG 01.04.2017
    Vydané v 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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    Journal Article
  16. 16

    Genetic K-Medoids Spatial Clustering with Obstacles Constraints Autor Xueping Zhang, Jiayao Wang, Fang Wu, Zhongshan Fan, Wenbo Xu

    ISBN: 9781424401956, 142440195X
    ISSN: 1541-1672
    Vydavateľské údaje: IEEE 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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  17. 17

    Fuzzy Clustering with Obstructed Distance Based on Quantum-Behaved Particle Swarm Optimization Autor Ping Lu, An-Xin Zhao

    ISBN: 1424492475, 9781424492473
    ISSN: 2155-6083
    Vydavateľské údaje: IEEE 01.12.2010
    “… The new spatial clustering with obstacles constrained algorithm avoids the fitness value of clustering falling into local extremum in a large degree…”
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  18. 18

    NMPC Based-Trajectory Tracking and Obstacle Avoidance for Mobile Robots Autor Qasim, Mohammed Salim, Ayoub, Abdurahman Basil, Abdulla, Abdulla Ibrahim

    ISSN: 2775-2658, 2775-2658
    Vydavateľské údaje: 16.11.2024
    “… The points that belong to each obstacle are then clustered together using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm…”
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    Journal Article
  19. 19

    LiDAR-based Model Predictive Control using Control Barrier Functions Autor Tooranjipour, Pouria, Kiumarsi, Bahare

    ISSN: 2378-5861
    Vydavateľské údaje: AACC 08.07.2025
    “… A CBF is synthesized from 2D LiDAR data points by first clustering obstacles using the Density-Based Spatial Clustering of Applications with Noise (DBSCAN…”
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  20. 20

    A Revised Ant Clustering Algorithm with Obstacle Constraints Autor Jianhua Qu, Xiyu Liu

    ISBN: 9780769535074, 0769535070
    Vydavateľské údaje: IEEE 01.03.2009
    “… This paper discusses the problem of spatial clustering with obstacles constraints and presents a revised method named ant clustering algorithm with obstacle constraints(ACAOC…”
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