The application of K-medoids and PAM to the clustering of rules

被引：0
|
作者：
Reynolds, AP [1 ]
Richards, G [1 ]
Rayward-Smith, VJ [1 ]
机构：
[1] Univ E Anglia, Sch Comp Sci, Norwich NR4 7TJ, Norfolk, England
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING IDEAL 2004, PROCEEDINGS | 2004年 / 3177卷
关键词：
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：
Earlier research has resulted in the production of an 'all-rules' algorithm for data-mining that produces all conjunctive rules of above given confidence and coverage thresholds. While this is a useful tool, it may produce a large number of rules. This paper describes the application of two clustering algorithms to these rules, in order to identify sets of similar rules and to better understand the data.
引用
收藏
页码：173 / 178
页数：6
相关论文
共 50 条
  • [21] Modification to K-Medoids and CLARA for Effective Document Clustering
    Nguyen, Phuong T.
    Eckert, Kai
    Ragone, Azzurra
    Di Noia, Tommaso
    FOUNDATIONS OF INTELLIGENT SYSTEMS, ISMIS 2017, 2017, 10352 : 481 - 491
  • [22] Genetic K-Medoids spatial clustering with obstacles constraints
    Zhang, Xueping
    Wang, Jiayao
    Wu, Fang
    Fan, Zhongshan
    Xu, Wenbo
    2006 3RD INTERNATIONAL IEEE CONFERENCE INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2006, : 809 - 814
  • [23] An Effective VNS Algorithm for k-Medoids Clustering Problem
    de Moura Brito, Jose Andre
    Semaan, Gustavo Silva
    Fadel, Augusto Cesar
    IEEE LATIN AMERICA TRANSACTIONS, 2022, 20 (05) : 710 - 717
  • [24] Optimization of K-medoids Algorithm for Initial Clustering Center
    Wang Yan E
    An Jian
    Liang Yan
    Wang HongGang
    2020 4TH INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND ARTIFICIAL INTELLIGENCE (CCEAI 2020), 2020, 1487
  • [25] The K-medoids clustering algorithm by a class of P system
    Zhao, Yuzhen
    Liu, Xiyu
    Qu, Jianhua
    Journal of Information and Computational Science, 2012, 9 (18): : 5777 - 5790
  • [26] K-Medoids Clustering and Fuzzy Sets for Isolation Forest
    Karczmarek, Pawel
    Kiersztyn, Adam
    Pedrycz, Witold
    Badurowicz, Marcin
    Czerwinski, Dariusz
    Montusiewicz, Jerzy
    IEEE CIS INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS 2021 (FUZZ-IEEE), 2021,
  • [27] A Parallel K-Medoids Algorithm for Clustering based on MapReduce
    Shafiq, M. Omair
    Torunski, Eric
    2016 15TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2016), 2016, : 502 - 507
  • [28] Kernel Based K-Medoids for Clustering Data with Uncertainty
    Yang, Baoguo
    Zhang, Yang
    ADVANCED DATA MINING AND APPLICATIONS, ADMA 2010, PT I, 2010, 6440 : 246 - 253
  • [29] Comparison between K-Means and K-Medoids Clustering Algorithms
    Madhulatha, Tagaram Soni
    ADVANCES IN COMPUTING AND INFORMATION TECHNOLOGY, 2011, 198 : 472 - 481
  • [30] MPDP k-medoids: Multiple partition differential privacy preserving k-medoids clustering for data publishing in the Internet of Medical Things
    Zhang, Zekun
    Wu, Tongtong
    Sun, Xiaoting
    Yu, Jiguo
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2021, 17 (10)
12345