A practical comparison of two K-Means clustering algorithms

被引：0
|
作者：
Gregory A Wilkin
Xiuzhen Huang
机构：
[1] Arkansas State University,Department of Computer Science
[2] State University,undefined
来源：
BMC Bioinformatics | / 9卷
关键词：
Cluster Algorithm; Cluster Center; Cluster Representative; Close Center; Proximity Relationship;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Robust K-Median and K-Means Clustering Algorithms for Incomplete Data
    Li, Jinhua
    Song, Shiji
    Zhang, Yuli
    Zhou, Zhen
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2016, 2016
  • [32] Selection of K in K-means clustering
    Pham, DT
    Dimov, SS
    Nguyen, CD
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2005, 219 (01) : 103 - 119
  • [33] Stability of k-means clustering
    Ben-David, Shai
    Pal, Ddvid
    Simon, Hans Ulrich
    [J]. LEARNING THEORY, PROCEEDINGS, 2007, 4539 : 20 - +
  • [34] Geodesic K-means Clustering
    Asgharbeygi, Nima
    Maleki, Arian
    [J]. 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 3450 - 3453
  • [35] Balanced K-Means for Clustering
    Malinen, Mikko I.
    Franti, Pasi
    [J]. STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, 2014, 8621 : 32 - 41
  • [36] Discriminative k-Means Clustering
    Arandjelovic, Ognjen
    [J]. 2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2013,
  • [37] On the Optimality of k-means Clustering
    Dalton, Lori A.
    [J]. 2013 IEEE INTERNATIONAL WORKSHOP ON GENOMIC SIGNAL PROCESSING AND STATISTICS (GENSIPS 2013), 2013, : 70 - 71
  • [38] Transformed K-means Clustering
    Goel, Anurag
    Majumdar, Angshul
    [J]. 29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021), 2021, : 1526 - 1530
  • [39] On autonomous k-means clustering
    Elomaa, T
    Koivistoinen, H
    [J]. FOUNDATIONS OF INTELLIGENT SYSTEMS, PROCEEDINGS, 2005, 3488 : 228 - 236
  • [40] Power k-Means Clustering
    Xu, Jason
    Lange, Kenneth
    [J]. INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, 2019, 97
12345