Fast Dimension Reduction Based on NMF

被引：0
|
作者：
Kroemer, Pavel [1 ]
Platos, Jan [1 ]
Snasel, Vaclav [1 ]
机构：
[1] VSB Tech Univ Ostrava, Dept Comp Sci, Fac Elect Engn & Comp Sci, Ostrava 70833, Czech Republic
来源：
ADVANCES IN COMPUTATION AND INTELLIGENCE | 2010年 / 6382卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Non-negative matrix factorization is an important method in the analysis of high dimensional datasets. It has a number of applications including pattern recognition, data clustering, information retrieval or computer security. One of its significant drawback lies in its computational complexity. In this paper, we discuss a novel method to allow fast approximate transformation from input space to feature space defined by non-negative matrix factorization.
引用
收藏
页码：424 / 433
页数：10
相关论文
共 50 条
  • [1] NMF based Dimension Reduction Methods for Turkish Text Clustering
    Guran, Aysun
    Ganiz, Murat Can
    Naiboglu, Hamit Selahattin
    Kaptikacti, Halil Oguz
    2013 IEEE INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (IEEE INISTA), 2013,
  • [2] Simultaneous dimension reduction and clustering via the NMF-EM algorithm
    Carel, Lena
    Alquier, Pierre
    ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2021, 15 (01) : 231 - 260
  • [3] Simultaneous dimension reduction and clustering via the NMF-EM algorithm
    Léna Carel
    Pierre Alquier
    Advances in Data Analysis and Classification, 2021, 15 : 231 - 260
  • [4] Fast dimension reduction for document classification based on imprecise spectrum analysis
    Guan, Hu
    Zhou, Jingyu
    Xiao, Bin
    Guo, Minyi
    Yang, Tao
    Information Sciences, 2013, 222 : 147 - 162
  • [5] A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
    Senjian An
    Wanquan Liu
    Svetha Venkatesh
    Ronny Tjahyadi
    Neural Processing Letters, 2006, 24 : 137 - 151
  • [6] A fast feature-based dimension reduction algorithm for kernel classifiers
    An, Senjian
    Liu, Wanquan
    Venkatesh, Svetha
    Tjahyadi, Ronny
    NEURAL PROCESSING LETTERS, 2006, 24 (02) : 137 - 151
  • [7] Fast dimension reduction for document classification based on imprecise spectrum analysis
    Guan, Hu
    Zhou, Jingyu
    Xiao, Bin
    Guo, Minyi
    Yang, Tao
    INFORMATION SCIENCES, 2013, 222 : 147 - 162
  • [8] A fast load pattern extraction approach based on dimension reduction and sampling
    Zhang, Tiefeng
    Gu, Mingdi
    Zhang, Guangquan
    Lu, Jie
    2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2016, : 1253 - 1258
  • [9] FAST DIMENSION REDUCTION THROUGH RANDOM PERMUTATION
    Gan, Lu
    Do, Thong T.
    Tran, Trac D.
    2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 3353 - 3356
  • [10] Fast Electromagnetic Tomography Image Reconstruction Algorithm Based on Dimension Reduction Technique
    Jiwei Huo
    Ze Liu
    Yadong Wang
    Wei Yuan
    Chengfei Wang
    Sensing and Imaging, 2020, 21
12345