Deep divergence-based approach to clustering

Author:

Kampffmeyer MichaelORCID,Løkse Sigurd,Bianchi Filippo M.ORCID,Livi LorenzoORCID,Salberg Arnt-Børre,Jenssen Robert

Funder

NVIDIA Corporation

Research Council of Norway

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference67 articles.

1. Data clustering: Algorithms and applications;Aggarwal,2013

2. Aragam, B., Dan, C., Ravikumar, P., & Xing, E. P. (2018). Identifiability of nonparametric mixture models and Bayes optimal clustering, arXiv preprint arXiv:1802.04397.

3. k-means++: The advantages of careful seeding;Arthur,2007

4. Divergence measures for statistical data processing–an annotated bibliography;Basseville;Signal Processing,2013

5. Representation learning: A review and new perspectives;Bengio;IEEE Transactions on Pattern Analysis and Machine Intelligence,2013

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