GeoEntropy: A measure of complexity and similarity

被引：25
|
作者：
Pham, Tuan D. [1 ]
机构：
[1] Univ New S Wales, Sch Engn & Informat Technol, Canberra, ACT 2600, Australia
来源：
PATTERN RECOGNITION | 2010年 / 43卷 / 03期
关键词：
Complexity; Similarity; Entropy; Geostatistics; Prediction; Classification; ENTROPY;
D O I：
10.1016/j.patcog.2009.08.015
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Measuring the complexity of a pattern expressed either in time or space has been introduced to quantify the information content of the pattern. which can then be applied for classification. Such information measures are particularly useful for the understanding of systems complexity in many fields of sciences, business and engineering. The novel concept of geostatistical entropy (GeoEntropy) as a measure of pattern complexity and similarity is addressed in this paper. It has been experimentally shown that GeoEntropy is an effective algorithm for studying signal predictability and has superior capability of classifying complex bio-patterns. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：887 / 896
页数：10
相关论文
共 50 条
  • [1] A similarity measure for graphs with low computational complexity
    Dehmer, Matthias
    Emmert-Streib, Frank
    Kilian, Juergen
    APPLIED MATHEMATICS AND COMPUTATION, 2006, 182 (01) : 447 - 459
  • [2] Measuring Complexity of Mouse Brain Morphological Changes Using GeoEntropy
    El-Fiqi, Heba Z.
    Pham, Tuan D.
    Hattori, Haroldo T.
    Crane, Denis I.
    2009 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MODELS FOR LIFE SCIENCES (CMLS '09), 2010, 1210 : 110 - +
  • [3] A Novel Low-Complexity HMM Similarity Measure
    Sahraeian, Sayed Mohammad Ebrahim
    Yoon, Byung-Jun
    IEEE SIGNAL PROCESSING LETTERS, 2011, 18 (02) : 87 - 90
  • [4] Low complexity spatial similarity measure of GPS trajectories
    Mariescu-Istodor, Radu
    Tabarcea, Andrei
    Saeidi, Rahim
    Fränti, Pasi
    WEBIST 2014 - Proceedings of the 10th International Conference on Web Information Systems and Technologies, 2014, 1 : 62 - 69
  • [5] Similarity Measure for Fiber Clustering: A Constant Time Complexity Algorithm
    Tran Anh Quan
    Bay Vo
    2015 SEVENTH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE), 2015, : 286 - 291
  • [6] Evidence supporting measure of similarity for reducing the complexity in information fusion
    Li, Xinde
    Dezert, Jean
    Smarandache, Florentin
    Huang, Xinhan
    INFORMATION SCIENCES, 2011, 181 (10) : 1818 - 1835
  • [7] Unified complexity measure: a measure of complexity
    Misra, Sanjay
    Akman, Ibrahim
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES, 2010, 80A : 167 - 176
  • [8] Nonrigid Registration of Breast MR Images Using Residual Complexity Similarity Measure
    Nekoo, Azam Hamidi
    Ghaffari, Aboozar
    Fatemizadeh, Emad
    2013 8TH IRANIAN CONFERENCE ON MACHINE VISION & IMAGE PROCESSING (MVIP 2013), 2013, : 241 - 244
  • [9] Complexity and Similarity for Sequences using LZ77-based conditional information measure
    Cayre, Francois
    Le Bihan, Nicolas
    2019 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2019, : 2454 - 2458
  • [10] Models, similarity, and complexity
    Perlovsky, LI
    JOINT CONFERENCE ON THE SCIENCE AND TECHNOLOGY OF INTELLIGENT SYSTEMS, 1998, : 401 - 406
12345