A Density-Center-Based Automatic Clustering Algorithm for IoT Data Analysis-Reference-Cited by-同舟云学术

A Density-Center-Based Automatic Clustering Algorithm for IoT Data Analysis

Published:2022-12-15 Issue:24 Volume:9 Page:24682-24694
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhang Tao¹^ORCID,Zhou MengChu²^ORCID,Guo Xiwang³^ORCID,Qi Liang⁴^ORCID,Abusorrah Abdullah⁵^ORCID

Affiliation:

1. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China

2. Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

3. College of Computer and Communication Engineering, Liaoning Shihua University, Fushun, China

4. Department of Computer Science and Technology, Shandong University of Science and Technology, Qingdao, China

5. Department of Electrical and Computer Engineering, Faculty of Engineering, K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

National Natural Science Foundation

Science Fund for Creative Research Groups of the National Natural Science Foundation of China

Deanship of Scientific Research (DSR) at King Abdulaziz University (KAU), Jeddah, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9973413/09851643.pdf?arnumber=9851643

Reference52 articles.

1. Optimal Deployment of Energy-Harvesting Directional Sensor Networks for Target Coverage

2. Assisting cluster coherency via n-grams and clustering as a tool to deal with the new user problem

3. Iterative shrinking method for clustering problems

4. K-means properties on six clustering benchmark datasets

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