Clustering by transmission learning from data density to label manifold with statistical diffusion-Reference-Cited by-同舟云学术

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Clustering by transmission learning from data density to label manifold with statistical diffusion

Published:2020-04 Issue: Volume:193 Page:105330
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhang Yuanpeng,Chung Fu-lai,Wang Shitong

Funder

National Natural Science Foundation of China

NSFC-JSPS, China

Natural Science Foundation of Jiangsu Province, China

Fundamental Research Funds for the Central Universities, China

National First-class Discipline Program of Light Industry and Engineering, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference41 articles.

1. Fast graph-based relaxed clustering for large data sets using minimal enclosing ball;Qian;IEEE Trans. Syst. Man, Cybern. B Cybern.,2012

2. Scaling up synchronization-inspired partitioning clustering;Ying;IEEE Trans. Knowl. Data Eng.,2014

3. Knowledge-leveraged transfer fuzzy C-Means for texture image segmentation with self-adaptive cluster prototype matching;Qian;Knowl.-Based Syst.,2017

4. Synchronization clustering based on central force optimization and its extension for large-scale datasets;Hang;Knowl.-Based Syst.,2017

5. Statistical Data Analysis based on the L1–Norm and Related Methods;Kaufman,1987

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