Journal of Guangdong University of Technology ›› 2014, Vol. 31 ›› Issue (3): 32-38.doi: 10.3969/j.issn.1007-7162.2014.03.006

• Comprehensive Studies • Previous Articles     Next Articles

Some Challenges in Clustering Analysis

Jiang Sheng-yi1, Wang Lian-xi2   

  1. 1.Cisco School of Informatics；2. Library, Guangdong University of Foreign Studies, Guangzhou 510420, China
  • Received:2014-07-10 Online:2014-09-30 Published:2014-09-30

HTML

PDF (PC)

3226

Abstract: The aim of clustering is to help people find and recognize the unknown world, so as to accumulate knowledge for us in real life. Clustering analysis is an important part for the majority of researchers in unsupervised leaning, and is usually used as an analysis tool to explore the unknown data and its regularity for many cross subjects. It analyzed the procedure of clustering, and briefly surveyed the related achievements. Moreover, the problems of clustering algorithms in processing various data types, high dimensional data, unbalanced data were concluded, and the expansibility and the selection of evaluation index for algorithms were also discussed in detail. At last, some directions for future research were proposed. The above work can give valuable reference to further studies of clustering and data mining.

Key words: clustering analysis, unsupervised learning, data mining

[1] Zhang Wei, Zhang Zhen-bin. Joint Graph Embedding and Feature Weighting for Unsupervised Feature Selection [J]. Journal of Guangdong University of Technology, 2021, 38(05): 16-23.
[2] Cen Shi-jie, He Yuan-lie, Chen Xiao-cong. A Monocular Depth Estimation Combined with Attention and Unsupervised Deep Learning [J]. Journal of Guangdong University of Technology, 2020, 37(04): 35-41.
[3] Teng Shao-hua, Feng Zhen-ye, Teng Lu-yao, Fang Xiao-zhao. Joint Low-Rank Representation and Graph Embedding for Unsupervised Feature Selection [J]. Journal of Guangdong University of Technology, 2019, 36(05): 7-13.
[4] Teng Shao-hua, Lu Dong-lue, Huo Ying-xiang, Zhang Wei. Classification Method Based on Dimension Reduction [J]. Journal of Guangdong University of Technology, 2017, 34(03): 1-7.
[5] Chen Li, Cao Xi, Lin Jun-jie, Gao Hong-ming, Liu Fei-ya, Li Yan-yan. Prediction of Short-Term Load Based on Big Data Mining [J]. Journal of Guangdong University of Technology, 2017, 34(03): 105-109.
[6] Chen Ji-feng, Liu Guang-cong, Peng Cheng-ping. An Improved DV-Hop Localization Algorithm for Wireless Sensor Networks [J]. Journal of Guangdong University of Technology, 2017, 34(02): 80-85.
[7] DING Li-Juan, ZOU Guang-Tian, GUO Qiang, ZHANG Si. Research on the Theory of Extension Architecture Programming Data Mining [J]. Journal of Guangdong University of Technology, 2015, 32(1): 1-5.
[8] ZHANG Jia-Bin, ZHANG Jin-Chun, LI Ri-Hua, LI Chao-Ya. Research on Fault Diagnosis and Prevention Based on Extension [J]. Journal of Guangdong University of Technology, 2015, 32(1): 11-15.
[9] TENG Shao-Hua, FAN Ji-Hui, CHEN Xiao, ZHANG Wei, LIU Dong-Ning, LIANG Lu. The Application of KNNbased Multiclassifiers in Mining Local Area Meteorological Data [J]. Journal of Guangdong University of Technology, 2014, 31(1): 25-31.
[10] ZHANG Wei, LIU Feng, TENG Shao-Hua. Improved Prefixspan Algorithm and Its Application in Sequential Pattern Mining [J]. Journal of Guangdong University of Technology, 2013, 30(4): 49-54.
[11] Zhu Ling-li, Li Wei-hua, Li Xiao-mei. Research on Extension Knowledge Mining [J]. Journal of Guangdong University of Technology, 2012, 29(4): 7-13.
[12] BIN Ning. Risk Analysis of Insurance Business Based on SPRINT Classification Algorithm [J]. Journal of Guangdong University of Technology, 2007, 24(2): 99-102.
[13] WU Liang-sheng~1,FENG Jin~2,SU Jin-xuan~3. Fuzzy Clustering Research on Driver’s Tensity under the Condition of Special Traffic Environment [J]. Journal of Guangdong University of Technology, 2006, 23(4): 70-75.
[14] ZHAO Yu-ming,TENG Shao-hua,ZHANG Wei,WU Nai-qi . The Application of Data Mining Technology in Anomaly Detection [J]. Journal of Guangdong University of Technology, 2005, 22(3): 48-52.
[15] YANG Ye. Web Instructional Resources Mining and Text Categorization System [J]. Journal of Guangdong University of Technology, 2005, 22(2): 79-82.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © 2017 Journal of Guangdong University of Technology
Add：729 East Dongfeng RD., Guangzhou PRC. Postcode: 510090
Tel：020-37626653,020-37626139,020-37626396
Email：xbzrb@gdut.edu.cn
Supported:Beijing Magtech