Deep Clustering for Mixed-type Data with Frequency Encoding and Doubly Weighted Cross Entropy Loss-Reference-Cited by-同舟云学术

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Deep Clustering for Mixed-type Data with Frequency Encoding and Doubly Weighted Cross Entropy Loss

Published:2022-07-05 Issue: Volume: Page:
ISSN:
Container-title:2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC)
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Author:

Choi Deogho¹,Chae Daniel²,Kim Woo-Yeon²,Kim Jihong²,Yang Janghoon³,Shin Jitae⁴

Affiliation:

1. Sungkyunkwan University,Department of Semiconductor and Display Engineering,Suwon,Republic of Korea

2. SK Telecom,Infra OSS Tech. Lab,Seoul,Republic of Korea

3. Seoul Media Institute of Technology,Department of AI Software Engineering,Seoul,Republic of Korea

4. Sungkyunkwan University,Department of Electrical and Computer Engineering,Suwon,Republic of Korea

Funder

IITP

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9894733/9894851/09894964.pdf?arnumber=9894964

Reference11 articles.

1. Clustering large data sets with mixed numeric and categorical values;huang;PAKDD,1997

2. A tutorial on spectral clustering;von luxburg;Statistics and Computing,2007

3. Clustering Data of Mixed Categorical and Numerical Type With Unsupervised Feature Learning

4. Fuzzy Centroid and Genetic Algorithms: Solutions for Numeric and Categorical Mixed Data Clustering

5. Adaptive Mixed-Attribute Data Clustering Method Based on Density Peaks;shihua;Hindawi Complexity,2022

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