Deep variational clustering framework for self-labeling large-scale medical images-Reference-Cited by-同舟云学术

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Deep variational clustering framework for self-labeling large-scale medical images

Published:2022-04-04 Issue: Volume: Page:
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Container-title:Medical Imaging 2022: Image Processing
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Author:

Soleymani Farzin,Eslami Mohammad,Elze Tobias,Bischl Bernd,Rezaei Mina

Publisher

SPIE

Reference33 articles.

1. Deep clustering for unsupervised learning of visual features;Caron,2018

2. Clustering with bregman divergences;Banerjee;Journal of machine learning research,2005

3. k-means++: The advantages of careful seeding;Arthur;tech. rep., Stanford,2006

4. Explainable k-means and k-medians clustering;Dasgupta,2020

5. Unsupervised deep embedding for clustering analysis;Xie,2016

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1. Joint Debiased Representation Learning and Imbalanced Data Clustering;2022 IEEE International Conference on Data Mining Workshops (ICDMW);2022-11

2. Introductory Chapter: Development of Data Clustering;Data Clustering;2022-08-17

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