Interval-valued Data Ward's Minimum Variance Clustering - Centroid update Formula

被引：0
|
作者：
Dias, Jornandes [1 ]
Galdino, Sergio [1 ]
机构：
[1] Univ Pernambuco, Polytech Sch, Recife, PE, Brazil
来源：
2021 7TH INTERNATIONAL CONFERENCE ON ENGINEERING AND EMERGING TECHNOLOGIES (ICEET 2021) | 2021年
关键词：
uncertainty quantification; interval-valued data; hierarchical clustering; interval arithmetic;
D O I：
10.1109/ICEET53442.2021.9659718
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Interval-valued Data Ward's Minimum Variance Clustering is one of several methods of agglomerative hierarchical clustering. It is a very popular method for computing hierarchical clusterings. Currently, clustering methods rely dissimilarity measures for interval-valued data uses representative point distance. Our work extend Ward's clustering to interval-valued data. Based on the Range Euclidean Metric it is a reliable alternative to be used to uncertainty quantification from interval-valued data.
引用
收藏
页码：258 / 263
页数：6
相关论文
共 50 条
  • [1] Two clustering methods based on the Ward's method and dendrograms with interval-valued dissimilarities for interval-valued data
    Ogasawara, Yu
    Kon, Masamichi
    [J]. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2021, 129 : 103 - 121
  • [2] Symbolic Clustering with Interval-Valued Data
    Sato-Ilic, Mika
    [J]. COMPLEX ADAPTIVE SYSTEMS, 2011, 6
  • [3] Trimmed fuzzy clustering for interval-valued data
    Pierpaolo D’Urso
    Livia De Giovanni
    Riccardo Massari
    [J]. Advances in Data Analysis and Classification, 2015, 9 : 21 - 40
  • [4] Possibilistic Clustering Methods for Interval-Valued Data
    Pimentel, Bruno Almeida
    De Souza, Renata M. C. R.
    [J]. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2014, 22 (02) : 263 - 291
  • [5] Trimmed fuzzy clustering for interval-valued data
    D'Urso, Pierpaolo
    De Giovanni, Livia
    Massari, Riccardo
    [J]. ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, 2015, 9 (01) : 21 - 40
  • [6] Fuzzy clustering of spatial interval-valued data
    D'Urso, Pierpaolo
    De Giovanni, Livia
    Federico, Lorenzo
    Vitale, Vincenzina
    [J]. SPATIAL STATISTICS, 2023, 57
  • [7] Interval-valued Data Ward's Hierarchical Agglomerative Clustering Method: Comparison of Three Representative Merge Points
    Galdino, Sergio
    Dias, Jornandes
    [J]. 2021 7TH INTERNATIONAL CONFERENCE ON ENGINEERING AND EMERGING TECHNOLOGIES (ICEET 2021), 2021, : 235 - 240
  • [8] The minimum covariance determinant estimator for interval-valued data
    Tian, Wan
    Qin, Zhongfeng
    [J]. STATISTICS AND COMPUTING, 2024, 34 (02)
  • [9] The minimum covariance determinant estimator for interval-valued data
    Wan Tian
    Zhongfeng Qin
    [J]. Statistics and Computing, 2024, 34
  • [10] Interval-valued fuzzy clustering
    Pagola, M.
    Jurio, A.
    Barrenechea, E.
    Fernandez, J.
    Bustince, H.
    [J]. PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY, 2015, 89 : 1288 - 1294
12345