Multi-Head Self-Attention Network for Multi-View Deep Clustering-Reference-Cited by-同舟云学术

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Multi-Head Self-Attention Network for Multi-View Deep Clustering

Published:2023-07-05 Issue: Volume: Page:
ISSN:
Container-title:2023 26th ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD-Winter)
language:
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Author:

Zhou Jian¹,Cao Qike¹,Song Chao¹,Zhou Yu¹,Xi Xiaowen¹,Li Dongmei¹,Zhang Xiaoping²

Affiliation:

1. School of Information Science and Technology, Beijing Forestry University,National Forestry and Grassland Administration Engineering Research Center for Forestry-oriented Intelligent Information Processing,Beijing,China

2. National Data Center of Traditional Chinese Medicine, China Academy of Chinese Medical Sciences,Beijing,China

Funder

National Key Research and Development Program of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10223724/10223732/10224009.pdf?arnumber=10224009

Reference24 articles.

1. Deep Adversarial Multi-view Clustering Network

2. Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution

3. Arrhythmia classification algorithm based on multi-head self-attention mechanism

4. Multi-view k-means clustering on big data;cai;International Joint Conference on Artificial Intelligence,0

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