Chinese Journal of Lasers, Volume. 49, Issue 11, 1104001(2022)

Extraction of Indoor Objects Based on Exponential Function Density Clustering Model

Xijiang Chen1,2,4, Jiaying Lin2、*, Xianquan Han3, and Haojun Wang2
Author Affiliations
  • 1School of Artificial Intelligence, Wuchang University of Technology, Wuhan 430223, Hubei, China
  • 2School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, Hubei, China
  • 3Yangtze River Scientific Research Institute, Wuhan 430010, Hubei, China
  • 4Hubei Zhongtu Brands Company Limited, Wuhan 430070, Hubei, China
  • show less
    References(23)

    [1] Wang Z, Wang Z, Zhang X et al. Adaptive threshold clustering segmentation method based on two-dimensional lidar[J]. Chinese Journal of Lasers, 48, 1610005(2021).

    [2] Li W G, Mei Y, Fan X et al. Railway track detection based on vehicle laser point cloud[J]. Chinese Journal of Lasers, 49, 0410002(2022).

    [3] Jain A K. Data clustering: 50 years beyond K-means[J]. Pattern Recognition Letters, 31, 651-666(2010).

    [4] Guo J, Han L T, Sun X L et al. Comparative density peaks clustering algorithm with automatic determination of clustering center[J]. Journal of Computer Applications, 41, 738-744(2021).

    [5] Vinod H D. Integer programming and the theory of grouping[J]. Journal of the American Statistical Association, 64, 506-519(1969).

    [7] Wu S, Wang Y Z, Gao X N. Clustering algorithm for imbalanced data based on nearest neighbor[J]. Chinese Journal of Engineering, 42, 1209-1219(2020).

    [8] Gao Y L, Wang Z H, Pan J Y et al. Robust fuzzy C-means based on adaptive relaxation[J]. Journal of Electronics & Information Technology, 42, 1774-1781(2020).

    [9] Huang L, Yao B X, Chen P D et al. Superpixel segmentation method of high-resolution remote sensing image based on fuzzy clustering[J]. Acta Geodaetica et Cartographica Sinica, 49, 589-597(2020).

    [10] Chakraborty S, Paul D, Das S. Hierarchical clustering with optimal transport[J]. Statistics & Probability Letters, 163, 108781(2020).

    [11] Lorbeer B, Kosareva A, Deva B et al. Variations on the clustering algorithm BIRCH[J]. Big Data Research, 11, 44-53(2018).

    [12] Naresh V R K, Gope D, Lipasti M H. The cure: cluster communication using registers[J]. ACM Transactions on Embedded Computing Systems, 16, 1-19(2017).

    [13] Huang L, Yao B X, Chen P D et al. Superpixel segmentation method of high resolution remote sensing images based on hierarchical clustering[J]. Journal of Infrared and Millimeter Waves, 39, 263-272(2020).

    [14] Hou J, Zhang A H, Qi N M. Density peak clustering based on relative density relationship[J]. Pattern Recognition, 108, 107554(2020).

    [15] Wen X F, Yang Z C, Chen M. Density attraction clustering algorithm between data points[J]. Journal of Frontiers of Computer Science and Technology, 12, 1996-2006(2018).

    [16] Rodriguez A, Laio A. Clustering by fast search and find of density peaks[J]. Science, 344, 1492-1496(2014).

    [17] Liu R, Wang H, Yu X M. Shared-nearest-neighbor-based clustering by fast search and find of density peaks[J]. Information Sciences, 450, 200-226(2018).

    [19] Liu Y H, Ma Z M, Yu F. Adaptive density peak clustering based on K-nearest neighbors with aggregating strategy[J]. Knowledge-Based Systems, 133, 208-220(2017).

    [20] Guo Z S, Huang T Y, Cai Z L et al. A new local density for density peak clustering[M]. Phung D, Tseng V S, Webb G I, et al. Advances in knowledge discovery and data mining. Lecture notes in computer science, 10939, 426-438(2018).

    [21] Chen X J, Yu K G. Feature line generation and regularization from point clouds[J]. IEEE Transactions on Geoscience and Remote Sensing, 57, 9779-9790(2019).

    [22] Ișık Ș. Dominant point detection based on suboptimal feature selection methods[J]. Expert Systems With Applications, 161, 113741(2020).

    [23] Jain A, Law M. Data clustering: a user’s dilemma[M]. Pal S K, Bandyopadhyay S, Biswas S. Pattern recognition and machine intelligence. Lecture notes in computer science, 3776, 1-10(2005).

    Tools

    Get Citation

    Copy Citation Text

    Xijiang Chen, Jiaying Lin, Xianquan Han, Haojun Wang. Extraction of Indoor Objects Based on Exponential Function Density Clustering Model[J]. Chinese Journal of Lasers, 2022, 49(11): 1104001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Measurement and metrology

    Received: Oct. 8, 2021

    Accepted: Nov. 15, 2021

    Published Online: Jun. 2, 2022

    The Author Email: Lin Jiaying (1729959215@qq.com)

    DOI:10.3788/CJL202249.1104001

    Topics