An Improved Mean Imputation Clustering Algorithm for Incomplete Data-Reference-Cited by-同舟云学术

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An Improved Mean Imputation Clustering Algorithm for Incomplete Data

Published:2020-07-02 Issue: Volume: Page:
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Shi Hong,Wang Pingxin^ORCID,Yang Xin,Yu Hualong

Funder

National Natural Science Foundation of China

Natural Science Foundation of the Jiangsu Higher Education Institutions of China

Graduate Research and Innovation Projects of Jiangsu Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s11063-020-10298-5.pdf

Reference38 articles.

1. Xu R, Wunsch D (2005) Survey of clustering algorithms. IEEE Trans Neural Netw 16:645–678

2. Aggarwal CC, Reddy CK (2013) Data clustering: algorithms and applications. Chapman & Hall/CRC Press, Boca raton

3. Wang PX, Yao YY (2018) CE3: a three-way clustering method based on mathematical morphology. Knowl-Based Syst 155:54–65

4. Wang PX, Shi H, Yang XB, Mi JS (2019) Three-way k-means: integrating k-means and three-way decision. Int J Mach Learn Cybernet 10:2767–2777

5. Yang XB, Qi YS, Song XN, Yang JY (2013) Test cost sensitive multigranulation rough set: model and minimal cost selection. Inf Sci 250:184–199

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