Thresher: determining the number of clusters while removing outliers

被引:0
|
作者
Min Wang
Zachary B. Abrams
Steven M. Kornblau
Kevin R. Coombes
机构
[1] The Ohio State University,Department of Biomedical Informatics
[2] The Ohio State University,Mathematical Biosciences Institute
[3] The University of Texas M.D. Anderson Cancer Center,Department of Leukemia
来源
关键词
Clustering; Number of clusters; von Mises-Fisher mixture model; NbClust; SCOD; Gap statistics; Silhouette width;
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
  • [1] Thresher: determining the number of clusters while removing outliers
    Wang, Min
    Abrams, Zachary B.
    Kornblau, StevenM.
    Coombes, Kevin R.
    [J]. BMC BIOINFORMATICS, 2018, 19
  • [2] The FRCK clustering algorithm for determining cluster number and removing outliers automatically
    Guo, Yubin
    Wu, Yuhang
    Zhang, Xiaopeng
    Bo, Aofeng
    Li, Ximing
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING, 2021, 24 (05) : 485 - 494
  • [3] On determining the number of outliers in exponential and Pareto samples
    Jeevanand, ES
    Nair, NU
    [J]. STATISTICAL PAPERS, 1998, 39 (03) : 277 - 290
  • [4] On determining the number of outliers in exponential and Pareto samples
    E. S. Jeevanand
    N. Unnikrishnan Nair
    [J]. Statistical Papers, 1998, 39 : 277 - 290
  • [5] Determining the number of clusters in cluster analysis
    My-Young Cheong
    Hakbae Lee
    [J]. Journal of the Korean Statistical Society, 2008, 37 : 135 - 143
  • [6] Deep Embedding for Determining the Number of Clusters
    Wang, Yiqi
    Shi, Zhan
    Guo, Xifeng
    Liu, Xinwang
    Zhu, En
    Yin, Jianping
    [J]. THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2018, : 8173 - 8174
  • [7] Determining the number of clusters by sampling with replacement
    Tonidandel, S
    Overall, JE
    [J]. PSYCHOLOGICAL METHODS, 2004, 9 (02) : 238 - 249
  • [8] Fuzzy Clustering: Determining the Number of Clusters
    Rezankova, Hana
    Husek, Dusan
    [J]. 2012 FOURTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL ASPECTS OF SOCIAL NETWORKS (CASON), 2012, : 277 - 282
  • [9] Determining the number of clusters in cluster analysis
    Cheong, My-Young
    Lee, Hakbae
    [J]. JOURNAL OF THE KOREAN STATISTICAL SOCIETY, 2008, 37 (02) : 135 - 143
  • [10] A NEW APPROACH FOR DETERMINING NUMBER OF CLUSTERS
    Erisoglu, Murat
    Erisoglu, Ulku
    Servi, Tayfun
    Sakallioglu, Sadullah
    [J]. PAKISTAN JOURNAL OF STATISTICS, 2012, 28 (01): : 141 - 158