Feature Weighting and Feature Selection in Fuzzy Clustering

被引：7
|
作者：
Borgelt, Christian [1 ]
机构：
[1] European Ctr Soft Comp, Mieres 33600, Asturias, Spain
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5 | 2008年
关键词：
D O I：
10.1109/FUZZY.2008.4630468
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper studies the problem of weighting and selecting attributes and principal axes in fuzzy clustering. Its main contribution is a selection method that is not based on simply applying a threshold to computed feature weights, but directly assigns zero weights to features that are not informative enough. This has the important advantage that the clustering result that can be obtained on the selected subspace coincides with the projection (to the selected subspace) of the clustering result that is obtained on the full data space.
引用
收藏
页码：838 / 844
页数：7
相关论文
共 50 条
  • [21] Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering
    O'Neill, Damien
    Lensen, Andrew
    Xue, Bing
    Zhang, Mengjie
    [J]. 2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2018, : 173 - 180
  • [22] An approach to feature selection based on fuzzy clustering and statistic theory
    Gao, XB
    Ji, HB
    Xie, WX
    [J]. ICEMI'99: FOURTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 1999, : 988 - 992
  • [23] Online Feature Selection Based on Fuzzy Clustering and Its Applications
    Thanh Minh Nguyen
    Wu, Q. M. Jonathan
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2016, 24 (06) : 1294 - 1306
  • [24] Evaluation of feature subset selection, feature weighting, and prototype selection for biomedical applications
    Little, Suzanne
    Salvetti, Ovidio
    Perner, Petra
    [J]. ADVANCES IN CASE-BASED REASONING, PROCEEDINGS, 2008, 5239 : 312 - 324
  • [25] Fuzzy feature selection
    Rezaee, MR
    Goedhart, B
    Lelieveldt, BPF
    Reiber, JHC
    [J]. PATTERN RECOGNITION, 1999, 32 (12) : 2011 - 2019
  • [26] Discrete feature weighting & selection algorithm
    Jankowski, N
    [J]. PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4, 2003, : 636 - 641
  • [27] Feature-Weighting and Clustering Random Forest
    Liu, Zhenyu
    Wen, Tao
    Sun, Wei
    Zhang, Qilong
    [J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, 2021, 14 (01) : 257 - 265
  • [28] Combining Fuzzy C-Means Clustering with Fuzzy Rough Feature Selection
    Zhao, Ruonan
    Gu, Lize
    Zhu, Xiaoning
    [J]. APPLIED SCIENCES-BASEL, 2019, 9 (04):
  • [29] Feature weighting in k-means clustering
    Modha, DS
    Spangler, WS
    [J]. MACHINE LEARNING, 2003, 52 (03) : 217 - 237
  • [30] Feature Weighting in k-Means Clustering
    Dharmendra S. Modha
    W. Scott Spangler
    [J]. Machine Learning, 2003, 52 : 217 - 237
12345