Soft Subspace Clustering with a Multi-objective Evolutionary Approach-Reference-Cited by-同舟云学术

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Soft Subspace Clustering with a Multi-objective Evolutionary Approach

Published:2018-08-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Vision, Image and Signal Processing
language:
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Author:

Zhao Shengdun¹,Jin Liying¹,Wang Yuehui²,Wang Wensheng³,Du Wei¹,Gao Wei¹,Dou Yao¹,Lu Mengkang¹

Affiliation:

1. School of Mechanical Engineering, Xi'an Jiaotong University, Shaanxi Xi'an, China

2. School of Engineering Foundation, Army Academy of Border and Coastal Defence, Shaanxi Xi'an, China

3. HANGYU Life-Saving Equipment, Lim. Corp, Hubei Xiangyang, China

Funder

Grant No. BA2015106

Grant No. 51335009

Grant No. 2017YFD0700200

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3271553.3271610

Reference25 articles.

1. Data clustering: 50 years beyond K-means

2. The Concentration of Fractional Distances

3. OFFSS: optimal fuzzy-valued feature subset selection

4. Gan Guojun; Ng Michael Kwok-Po Subspace clustering with automatic feature grouping pattern recognition 48(2015) 1455--1464. 10.1016/j.patcog.2015.05.016 Gan Guojun; Ng Michael Kwok-Po Subspace clustering with automatic feature grouping pattern recognition 48(2015) 1455--1464. 10.1016/j.patcog.2015.05.016

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