Dip-based Deep Embedded Clustering with k-Estimation-Reference-Cited by-同舟云学术

Dip-based Deep Embedded Clustering with k-Estimation

Published:2021-08-14 Issue: Volume: Page:
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Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Leiber Collin¹,Bauer Lena G. M.²,Schelling Benjamin²,Böhm Christian¹,Plant Claudia²

Affiliation:

1. LMU Munich & MCML, Munich, Germany

2. University of Vienna, Vienna, Austria

Funder

German Federal Ministry of Education and Research (BMBF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467316

Reference31 articles.

1. MDL Principle for Robust Vector Quantisation

2. Christian Böhm Christos Faloutsos Jia-Yu Pan and Claudia Plant. 2006. Robust information-theoretic clustering. In SIGKDD. 65--75. Christian Böhm Christos Faloutsos Jia-Yu Pan and Claudia Plant. 2006. Robust information-theoretic clustering. In SIGKDD. 65--75.

3. The Projected Dip-means Clustering Algorithm

4. Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http://archive.ics.uci.edu/ml Dheeru Dua and Casey Graff. 2017. UCI Machine Learning Repository. http://archive.ics.uci.edu/ml

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