Unsupervised non-hierarchical entropy-based clustering

被引：0
|
作者：
Jardino, M [1 ]
机构：
[1] Lab Informat Mecan & Sci Ingenieur, F-91403 Orsay, France
来源：
DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS | 2000年
关键词：
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
We present an unsupervised non-hierarchical clustering which realizes a partition of unlabelled objects in K non-overlapping clusters. The interest of this method rests on the convexity of the entropy-based clustering criterion which is demonstrated here. This criterion permits to reach an optimal partition independently of the initial conditions, with a step by step iterative Monte-Carlo process. Several data sets serve to illustrate the main properties of this clustering.
引用
收藏
页码：29 / 34
页数：6
相关论文
共 50 条
  • [41] Entropy-Based Framework for Dynamic Coverage and Clustering Problems
    Sharma, Puneet
    Salapaka, Srinivasa M.
    Beck, Carolyn L.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (01) : 135 - 150
  • [42] Development of the WEEE grouping system in South Korea using the hierarchical and non-hierarchical clustering algorithms
    Park, Jihwan
    Park, Keon Vin
    Yoo, Soohyun
    Choi, Sang Ok
    Han, Sung Won
    [J]. RESOURCES CONSERVATION AND RECYCLING, 2020, 161
  • [43] Drivers of carbon dioxide emissions: an empirical investigation using hierarchical and non-hierarchical clustering methods
    Inekwe, John
    Maharaj, Elizabeth Ann
    Bhattacharya, Mita
    [J]. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, 2020, 27 (01) : 1 - 40
  • [44] Entropy-based Graph Clustering - A Simulated Annealing Approach
    Oggier, Frederique
    Phetsouvanh, Silivanxay
    Datta, Anwitaman
    [J]. PROCEEDINGS OF 2018 INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY AND ITS APPLICATIONS (ISITA2018), 2018, : 242 - 246
  • [45] An entropy-based clustering algorithm for load balancing in WSN
    Cha, HyunSoo
    Yoo, SeungWha
    Lee, Taekkyeun
    Park, Jihong
    Kim, Ki-Hyung
    [J]. INTERNATIONAL JOURNAL OF SENSOR NETWORKS, 2016, 22 (03) : 188 - 196
  • [46] An entropy-based subspace clustering algorithm for categorical data
    Carbonera, Joel Luis
    Abel, Mara
    [J]. 2014 IEEE 26TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI), 2014, : 272 - 277
  • [47] Non-hierarchical competence networks
    Wirth, Siegfried
    Enderlein, Hartmut
    Förster, Alfred
    Petermann, Joachim
    [J]. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, 2000, 95 (1-2): : 14 - 18
  • [48] Drivers of carbon dioxide emissions: an empirical investigation using hierarchical and non-hierarchical clustering methods
    John Inekwe
    Elizabeth Ann Maharaj
    Mita Bhattacharya
    [J]. Environmental and Ecological Statistics, 2020, 27 : 1 - 40
  • [49] Non-hierarchical Clustering of Decision Tables toward Rough Set-Based Group Decision Aid
    Inuiguchi, Masahiro
    Enomoto, Ryuta
    Kusunoki, Yoshifumi
    [J]. MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (MDAI), 2010, 6408 : 195 - 206
  • [50] NON-HIERARCHICAL FORMS OF ORGANIZATION
    HERBST, PG
    [J]. ACTA SOCIOLOGICA, 1976, 19 (01) : 65 - 75
12345