Akira Imakura

LSEC: Large-scale spectral ensemble clustering

2021 · arXiv (Cornell University)

Ensemble clustering is a fundamental problem in the machine learning field, combining multiple base clusterings into a better clustering result. However, most of the existing methods are unsuitable for large-scale ensemble clustering tasks due to …

A study of the privacy perspective on principal component analysis via a realistic attack model

2022

Anonymization methods based on principal component analysis (PCA), one of dimensionality reduction methods, have been well studied. These combine PCA with noise addition. Some of these methods theoretically guarantee privacy but decrease utility because of …