Applying an efficient k-nearest neighbor search to forest attribute imputation

被引:0
|
作者
Department of Forest Resources, University of Minnesota, 115 Green Hall, 1530 Cleveland Ave. North, St. Paul, MN 55108, United States [1 ]
不详 [2 ]
机构
来源
For. Sci. | 2006年 / 2卷 / 130-135期
关键词
Forestry;
D O I
10.1093/forestscience/52.2.130
中图分类号
学科分类号
摘要
引用
下载
收藏
相关论文
共 50 条
  • [11] Dimensional Testing for Reverse k-Nearest Neighbor Search
    Casanova, Guillaume
    Englmeier, Elias
    Houle, Michael E.
    Kroeger, Peer
    Nett, Michael
    Schubert, Erich
    Zimek, Arthur
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2017, 10 (07): : 769 - 780
  • [12] Anytime k-nearest neighbor search for database applications
    Xu, Weijia
    Miranker, Daniel P.
    Mao, Rui
    Ramakrishnan, Smriti
    SISAP 2008: FIRST INTERNATIONAL WORKSHOP ON SIMILARITY SEARCH AND APPLICATIONS, PROCEEDINGS, 2008, : 139 - +
  • [13] K-Nearest Neighbor Search by Random Projection Forests
    Yan, Donghui
    Wang, Yingjie
    Wang, Jin
    Wang, Honggang
    Li, Zhenpeng
    IEEE TRANSACTIONS ON BIG DATA, 2021, 7 (01) : 147 - 157
  • [14] Reverse k-nearest neighbor search in the presence of obstacles
    Gao, Yunjun
    Liu, Qing
    Miao, Xiaoye
    Yang, Jiacheng
    INFORMATION SCIENCES, 2016, 330 : 274 - 292
  • [15] Anytime K-nearest neighbor search for database applications
    Xu, Weijia
    Miranker, Daniel
    Mao, Rui
    Ramakrishnan, Smriti
    2008 IEEE 24TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOP, VOLS 1 AND 2, 2008, : 586 - +
  • [16] k-nearest reliable neighbor search in crowdsourced LBSs
    Jang, Hong-Jun
    Kim, Byoungwook
    Jung, Soon-Young
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2021, 34 (02)
  • [17] K-nearest Neighbor Search by Random Projection Forests
    Yan, Donghui
    Wang, Yingjie
    Wang, Jin
    Wang, Honggang
    Li, Zhenpeng
    2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2018, : 4775 - 4781
  • [18] K-nearest neighbor search for moving query point
    Song, ZX
    Roussopoulos, N
    ADVANCES IN SPATIAL AND TEMPORAL DATABASES, PROCEEDINGS, 2001, 2121 : 79 - 96
  • [19] A methodology for applying k-nearest neighbor to time series forecasting
    Martinez, Francisco
    Pilar Frias, Maria
    Dolores Perez, Maria
    Jesus Rivera, Antonio
    ARTIFICIAL INTELLIGENCE REVIEW, 2019, 52 (03) : 2019 - 2037
  • [20] A methodology for applying k-nearest neighbor to time series forecasting
    Francisco Martínez
    María Pilar Frías
    María Dolores Pérez
    Antonio Jesús Rivera
    Artificial Intelligence Review, 2019, 52 : 2019 - 2037