A Global Clustering Approach Using Hybrid Optimization for Incomplete Data Based on Interval Reconstruction of Missing Value-Reference-Cited by-同舟云学术

A Global Clustering Approach Using Hybrid Optimization for Incomplete Data Based on Interval Reconstruction of Missing Value

Author:

Zhang Liyong¹,Lu Wei¹,Liu Xiaodong¹,Pedrycz Witold²³⁴,Zhong Chongquan¹,Wang Lu⁵

Affiliation:

1. School of Control Science and Engineering; Dalian University of Technology; Dalian People's Republic of China

2. Department of Electrical and Computer Engineering; University of Alberta; Edmonton Canada

3. Department of Electrical and Computer Engineering; Faculty of Engineering, King Abdulaziz University; Jeddah Saudi Arabia

4. Systems Research Institute; Polish Academy of Sciences; Warsaw Poland

5. School of Information; Liaoning University; Shenyang People's Republic of China

Funder

National Natural Science Foundation of China

National Key Technology Support Program of China

Canada Research Chair (CRC)

Natural Sciences and Engineering Council of Canada (NSERC)

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Reference47 articles.

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