Web: http://arxiv.org/abs/2206.07579

June 16, 2022, 1:11 a.m. | Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester

cs.LG updates on arXiv.org arxiv.org

Clustering is a fundamental machine learning task which has been widely
studied in the literature. Classic clustering methods follow the assumption
that data are represented as features in a vectorized form through various
representation learning techniques. As the data become increasingly complicated
and complex, the shallow (traditional) clustering methods can no longer handle
the high-dimensional data type. With the huge success of deep learning,
especially the deep unsupervised learning, many representation learning
techniques with deep architectures have been proposed in …

arxiv challenges clustering deep future lg on survey taxonomy

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY