SATTree: A SHAP-Augmented Threshold Tree for Clustering Explanation-Reference-Cited by-同舟云学术

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SATTree: A SHAP-Augmented Threshold Tree for Clustering Explanation

Published:2023-12-04 Issue: Volume:17 Page:931-938
ISSN:
Container-title:2023 IEEE International Conference on Data Mining Workshops (ICDMW)
language:
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Author:

Gan Lige¹,Liu Bo²,Meng Andrew³,Zhang Feng⁴,Qu Guangzhi¹

Affiliation:

1. Oakland University,Department of Computer Science and Engineering,Rochester,USA

2. Massey University,School of Mathematical and Computational Sciences,Palmerston North,New Zealand

3. Troy High School,Troy,USA

4. China University of Geosciences,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10411504/10411508/10411540.pdf?arnumber=10411540

Reference39 articles.

1. Why should I trust you?;Ribeiro

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

3. A Survey on Interpretable Clustering

4. Opportunities and challenges in explainable artificial intelligence (xai): A survey;Das,2020

5. Algorithm-agnostic explainability for unsupervised clustering;Ellis,2021

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