A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture

A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture

Clustering is a fundamental problem in many data-driven application domains, and clustering performance highly depends on the quality of data representation. Hence, linear or non-linear feature transformations have been extensively used to learn a better data representation for clustering. In recent...

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Bibliographic Details
Main Authors: Erxue Min, Xifeng Guo, Qiang Liu, Gen Zhang, Jianjing Cui, Jun Long
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Clustering
deep learning
data representation
network architecture
Online Access:https://ieeexplore.ieee.org/document/8412085/

Internet

https://ieeexplore.ieee.org/document/8412085/

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