End-to-end incomplete multiview fuzzy clustering with adaptive missing view imputation and cooperative learning
The purpose of multiview fuzzy clustering is to integrate fuzzy partitions of multiple complete
views and obtain the optimal clustering partition. However, multiview data collected in the …
views and obtain the optimal clustering partition. However, multiview data collected in the …
Non-negative Sparse Matrix Factorization for Soft Clustering of Territory Risk Analysis
S Xie, C Gan, AT Lawniczak - Annals of Data Science, 2024 - Springer
Developing effective methodologies for territory design and relativity estimation is crucial in
auto insurance rate filings and reviews. This study introduces a novel approach utilizing …
auto insurance rate filings and reviews. This study introduces a novel approach utilizing …
Fuzzy Clustering and Non-negative Sparse Matrix Approximation on Estimating Territory Risk Relativities
S Xie, C Gan - 2022 IEEE International Conference on Fuzzy …, 2022 - ieeexplore.ieee.org
This work proposes using a fuzzy clustering approach to design territories for auto insurance
rate-making and regulation in rate filing review. Our approach moves the focus from the …
rate-making and regulation in rate filing review. Our approach moves the focus from the …
Non-negative sparse pca: An intelligible exact approach
An iterative method for the computation of a non-negative sparse principal component basis
is presented. The iterative nature of the proposed method enables online learning, useful for …
is presented. The iterative nature of the proposed method enables online learning, useful for …