Optimal projections of high dimensional data

被引:3
|
作者
Corchado, E [1 ]
Fyfe, C [1 ]
机构
[1] Univ Burgos, Dept Ingn Civil, Burgos, Spain
关键词
D O I
10.1109/ICDM.2002.1184006
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we compare two artificial neural network algorithms for performing Exploratory Projection Pursuit, a statistical technique for investigating data by projecting it onto lower dimensional manifolds. The neural networks are extensions of a network which performs Principal Component Analysis. We illustrate the technique on artificial data before applying it to real data.
引用
收藏
页码:589 / 596
页数:8
相关论文
共 50 条
  • [21] Random projections versus random selection of features for classification of high dimensional data
    Mylavarapu, Sachin
    Kaban, Ata
    2013 13TH UK WORKSHOP ON COMPUTATIONAL INTELLIGENCE (UKCI), 2013, : 305 - 312
  • [22] High-Dimensional Principal Projections
    André Mas
    Frits Ruymgaart
    Complex Analysis and Operator Theory, 2015, 9 : 35 - 63
  • [23] High-Dimensional Principal Projections
    Mas, Andre
    Ruymgaart, Frits
    COMPLEX ANALYSIS AND OPERATOR THEORY, 2015, 9 (01) : 35 - 63
  • [24] An Optimal Radial Layout for High Dimensional Data Class Visualization
    Tran Van Long
    Vu Thi Ngan
    2015 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR COMMUNICATIONS (ATC), 2015, : 343 - 346
  • [25] UnProjection: Leveraging Inverse-Projections for Visual Analytics of High-Dimensional Data
    Espadoto, Mateus
    Appleby, Gabriel
    Suh, Ashley
    Cashman, Dylan
    Li, Mingwei
    Scheidegger, Carlos
    Anderson, Erik W. W.
    Chang, Remco
    Telea, Alexandru C. C.
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2023, 29 (02) : 1559 - 1572
  • [26] An efficient approach for feature construction of high-dimensional microarray data by random projections
    Tariq, Hassan
    Eldridge, Elf
    Welch, Ian
    PLOS ONE, 2018, 13 (04):
  • [27] Measuring and Interpreting the Quality of 3D Projections of High-Dimensional Data
    Tian, Zonglin
    Castelein, Wouter
    Mchedlidze, Tamara
    Telea, Alexandru C.
    COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VISIGRAPP 2023, 2024, 2103 : 348 - 373
  • [28] Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections
    Liu, S.
    Wang, B.
    Thiagarajan, J. J.
    Bremer, P. -T.
    Pascucci, V.
    COMPUTER GRAPHICS FORUM, 2015, 34 (03) : 271 - 280
  • [29] The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data
    Liu, S.
    Bremer, P. -T
    Jayaraman, J. J.
    Wang, B.
    Summa, B.
    Pascucci, V.
    COMPUTER GRAPHICS FORUM, 2016, 35 (03) : 1 - 10
  • [30] LEARNING FROM HIGH-DIMENSIONAL NOISY DATA VIA PROJECTIONS ONTO MULTI-DIMENSIONAL ELLIPSOIDS
    Gong, Liuling
    Schonfeld, Dan
    2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2010, : 1970 - 1973