Feature extraction and classification of tumor based on wavelet package and support vector machines

被引：0
|
作者：
Wang, Shulin [1 ,2 ]
Wang, Ji [1 ]
Chen, Huowang [1 ]
Li, Shutao [3 ]
机构：
[1] Natl Univ Defense Technol, Sch Comp Sci, Changsha 410073, Peoples R China
[2] Hunan Univ, Sch Comp & Commun, Changsha 410082, Hunan, Peoples R China
[3] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
来源：
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PROCEEDINGS | 2007年 / 4426卷
关键词：
gene expression profiles; tumor classification; feature extraction; support vector machines; wavelet package decomposition;
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：
DNA microarray experiments provide us with huge amount of gene expression data, which leads to a dimensional disaster for extracting features related to tumor. A wavelet package decomposition based feature extraction method for tumor classification was proposed, by which eigenvectors are extracted from gene expression profiles and used as the input of support vector machines classifier. Two well-known datasets are examined using the novel feature extraction method and support vector machines. Experiment results show that the 4-fold cross-validated accuracy of 100% is obtained for the leukemia dataset and 93.55% for the colon dataset.
引用
收藏
页码：871 / +
页数：3
相关论文
共 50 条
  • [21] Geographical Classification of Tannat Wines Based on Support Vector Machines and Feature Selection
    Costa, Nattane Luiza
    Garcia Llobodanin, Laura Andrea
    Castro, Inar Alves
    Barbosa, Rommel
    [J]. BEVERAGES, 2018, 4 (04):
  • [22] Feature extraction from terahertz pulses for classification of RNA data via support vector machines
    Yin, Xiaoxia
    Ng, Brian W. -H.
    Fischer, Berrid
    Ferguson, Bradley
    Mickan, Sainuel P.
    Abbott, Derek
    [J]. MICRO- AND NANOTECHNOLOGY: MATERIALS, PROCESSES, PACKAGING, AND SYSTEMS III, 2007, 6415
  • [23] Facial image feature extraction using support vector machines
    Moghaddam, H. Abrishami
    Ghayoumi, M.
    [J]. VISAPP 2006: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 1, 2006, : 480 - +
  • [24] Classification of motor imagery task based on wavelet packet entropy and support vector machines
    Wang, Yanjing
    Qiao, Xiaoyan
    Li, Peng
    Li, Gang
    [J]. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2010, 31 (12): : 2729 - 2735
  • [25] Wavelet Transform Based Consonant - Vowel (CV) Classification Using Support Vector Machines
    Thasleema, T. M.
    Narayanan, N. K.
    [J]. NEURAL INFORMATION PROCESSING, ICONIP 2012, PT II, 2012, 7664 : 250 - 257
  • [26] Fault classification method for inverter based on hybrid support vector machines and wavelet analysis
    Zhi-kun Hu
    Wei-hua Gui
    Chun-hua Yang
    Peng-cheng Deng
    Steven X. Ding
    [J]. International Journal of Control, Automation and Systems, 2011, 9 : 797 - 804
  • [27] Fault Classification Method for Inverter Based on Hybrid Support Vector Machines and Wavelet Analysis
    Hu, Zhi-kun
    Gui, Wei-hua
    Yang, Chun-hua
    Deng, Peng-cheng
    Ding, Steven X.
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2011, 9 (04) : 797 - 804
  • [28] Feature selection for fast image classification with support vector machines
    Fan, ZG
    Wang, KA
    Lu, BL
    [J]. NEURAL INFORMATION PROCESSING, 2004, 3316 : 1026 - 1031
  • [29] Classification in a normalized feature space using support vector machines
    Graf, ABA
    Smola, AJ
    Borer, S
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS, 2003, 14 (03): : 597 - 605
  • [30] Feature selection and classification of hyperspectral images, with support vector machines
    Archibald, Rick
    Fann, George
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2007, 4 (04) : 674 - 677
12345