Fuzzy c-medoids Method based on JS']JS-divergence for Uncertain Data Clustering

被引：0

作者：

Wang, Yingxu ^{[1
]}

Dong, Jiwen ^{[1
]}

Zhou, Jin ^{[1
]}

Wang, Dong ^{[1
]}

Wang, Lin ^{[1
]}

Han, Shiyuan ^{[1
]}

Chen, Yuehui ^{[1
]}

机构：

[1] Univ Jinan, Shandong Prov Key Lab Network Based Intelligent C, Jinan 250022, Shandong, Peoples R China

来源：

2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION, CYBERNETICS AND COMPUTATIONAL SOCIAL SYSTEMS (ICCSS) | 2017年

基金：

中国国家自然科学基金;

关键词：

uncertain data clustering; !text type='JS']JS[!/text]-divergence; Fuzzy c-medoids method; ALGORITHM;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Uncertain data clustering is one significant research in data mining. Many similarity measurements of uncertain objects are proposed. Traditional clustering methods can be extended with these new similarity measurements. In this paper, we propose a new fuzzy c-medoids method for uncertain data clustering, named UFC-medoids. The JS-divergence is used as the similarity measurement between uncertain objects in this algorithm. In the experiments on synthetic datasets, the presented algorithm has shown a good performance.

引用

页码：312 / 315

页数：4

共 50 条

[11] Semi-Supervised Fuzzy C-medoids Clustering Algorithm with Multiple Prototype Representation
de Melo, Filipe M.
de Carvalho, Francisco de A. T.
2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013), 2013,
[12] Fuzzy kernel K-medoids clustering algorithm for uncertain data objects
Behnam Tavakkol
Youngdoo Son
Pattern Analysis and Applications, 2021, 24 : 1287 - 1302
[13] Fuzzy kernel K-medoids clustering algorithm for uncertain data objects
Tavakkol, Behnam
Son, Youngdoo
PATTERN ANALYSIS AND APPLICATIONS, 2021, 24 (03) : 1287 - 1302
[14] Me, My Girls, and the Ideal Hotel: Segmenting Motivations of the Girlfriend Getaway Market Using Fuzzy C-Medoids for Fuzzy Data
Khoo-Lattimore, Catheryn
Prayag, Girish
Disegna, Marta
JOURNAL OF TRAVEL RESEARCH, 2019, 58 (05) : 774 - 792
[15] Clustering Stock Prices of Industrial and Consumer Sector Companies in Indonesia Using Fuzzy C-Means and Fuzzy C-Medoids Involving ACF and PACF
Muda, Muhammad Adlansyah
Prastyo, Dedy Dwi
Akbar, Muhammad Sjahid
SOFT COMPUTING IN DATA SCIENCE, SCDS 2023, 2023, 1771 : 275 - 290
[16] Fuzzy Clustering Method for Spherical Data Based on q-Divergence
Higashi, Masayuki
Kondo, Tadafumi
Kanzawa, Yuchi
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2019, 23 (03) : 561 - 570
[17] Fuzzy c-ordered medoids clustering for interval-valued data
D'Urso, Pierpaolo
Leski, Jacek M.
PATTERN RECOGNITION, 2016, 58 : 49 - 67
[18] An Improved Fuzzy Clustering Method for Interval Uncertain Data
Xiao M.
Zhang L.
Zhang X.
Hu Y.
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2020, 42 (08): : 1968 - 1974
[19] An Improved Fuzzy Clustering Method for Interval Uncertain Data
Xiao Mansheng
Zhang Longxin
Zhang Xiaoli
Hu Yongxiang
JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2020, 42 (08) : 1968 - 1974
[20] Fuzzy clustering algorithm based on multiple medoids for large-scale data
Chen A.-G.
Wang S.-T.
Kongzhi yu Juece/Control and Decision, 2016, 31 (12): : 2122 - 2130

← 1 2 3 4 5 →